Individual Report This assignment requires you to build.docx

Individual Report
This assignment requires you to build and estimate a model
using Microsoft Excel or specialist
software to address a management problem. Please upload both
your report and data analysis file
on Moodle.
Specifics
You are required to find a management decision problem in any
company. Using Excel (or specialised
software), conduct an analytics for the problem, and interpret
the results. You are required to submit a
technical report (1,500 words) that discusses the managerial
problem, the results, their implications and
makes recommendations for improvement.
Your report will be marked according to the following criteria:
problem description;
modelling and solution; discussion on the result; managerial
recommendations.
The grade components will be approximately distributed as
follows:
Introduction (5%)

Descriptive analysis (20%)
Regression analytics (25%)
Managerial interpretations and implications (40%)
Conclusion (10%)
Introduction
In this section, you will identify your research question - based
on the Excel Data you are
assigned. It is important to give reasons for why you think it’s
interesting to explore such
question.
Descriptive analysis:
Import the raw data to the database, make sure it imported
correctly, identify the main tables and
relationships between, produce relevant visualizations.
Regression analysis:
Using appropriate regression models to address the managerial
problem.
II. Steps to be taken
1. Please go to the module webpage in Unihub;
2. Go to the section named “ Individual Assignment”;

3. Upload the zip file to your laptop;
4. Open the file name “Assignment of Excel file” to individual
student;
5. Identify the data file that is associated with your student ID.
6. Open the Excel file that you find in step 5. For example, if
your student ID is
associated with Data 2, then you will work on Data 2.
III. Description of the EXCEL data files:
Data 1:
The file P02_03.xlsx contains data from a survey of 399 people
regarding an environmental policy.
Data 2:
The file P02_07.xlsx includes data on 204 employees at the
(fictional) company Beta Technologies.
Data 3:
The data Lasagna Triers.xlsx is related to the buying behavior
of customers.
Data 4:
Catalog Marketing.xlsx contains recent data on 1000 HyTex
customers.

Data 5:
The file P03_63.xlsx contains financial data on 85 U.S.
companies in the Computer and Electronic
Product Manufacturing sector (NAICS code 334) with 2009
earnings before taxes of at least $10,000.
Each of these companies listed R&D (research and
development) expenses on its income statement.
Data 6:
The file P10_05.xlsx contains information about the human
resources.
Data 7:
This is data for Business Week’s top U.S. MBA programs in the
MBA Data sheet of the file P11_14.xlsx.
Data 8: The file P11_44.xlsx lists the test scores and
performance ratings for a randomly selected group
of employees. It also lists their seniority (months with the
company) at the time of the performance
rating.
IV. Some suggestions on how to proceed with the assignment
The best way to think about this assignment is to consider it a
simplified version of your master

dissertation which you are going to do soon! As such, you can
apply knowledge acquired from the
Dissertation Module, and any other modules to work on the
assignment. In what follows, I would like to
provide you with some suggestions on how to explore the
EXCEL data to write the report.
Let’s assume you are given a data that have information about
HR. In this data you have variables such
as age, gender, work experience, education, salary, tenure and
so on.
1. How to define a problem or research question?
It is sufficient to define just one research question. In this
example, you can propose a question such as “
Does there exist a link between gender and wage differential?”.
In other words, you want to study
whether female employees and male employees have the same
salary level if they have the same level of
education, work experience….
It is also important to elaborate on why you think this is an
interesting and relevant question. To do so,
it’s a good idea to incorporate some existing academic
references that address the link between gender
and salary.
2. How to do the data analysis
2.1. Descriptive analysis

You can report some measure of central tendency such as mean,
median, standard deviation, frequency
of the main variables in the Excel file;
2.2. Regression analysis
In this example, salary would be the dependent variable. You
then can run the regression using the
techniques we talk in class.
3. Interpretation of the results
It’s important to provide some discussion on your findings. For
example, if you find that the coefficient
for men is positive i.e., men have higher salary than women.
You can explain why this might be the case.
Also, it’s good idea to make references to academic studies that
may or may not support your results.
4. Recommendation
What would be the managerial implications for your results?
For example, if men have higher salary
then women, what would you like to recommend either from the
government’s policy perspective, and/or
from the firm’s HR practices perspective.

Source
This is fictitious data.
DataPersonAge
A satisfied Microsoft Office user: 1 if 30 or younger
2 if 31 to 55
3 if 56 or olderGender
A satisfied Microsoft Office user: 1 if male
0 if femaleOwn Home
A satisfied Microsoft Office user: 1 if person owns home
0 if person is rentingMarried
A satisfied Microsoft Office user: 1 if married
0 otherwise
Close
A satisfied Microsoft Office user: 1 if "close" to stores with
similar merchandise
0 if out in the middle of nowhereSalary
A satisfied Microsoft Office user: Combined salary of person
and spouse (if any), measured in $1000s
Children
A satisfied Microsoft Office user: Number of children living
with personHistory
A satisfied Microsoft Office user: NA if no spending history
before this year
1 if low-spending customer last year
2 if medium-spending customer last year

3 if high-spending customer last yearCatalogs
A satisfied Microsoft Office user: Number of catlogs sent to
person this yearRegion
Chris Albright: Region where customer lives: South, West,
Midwest, or East
StateCityFirst Purchase
Chris Albright: Data of first purchase from HyTex
Amount Spent
A satisfied Microsoft Office user: Amount spent total on
purchases this
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112EastOhioCleveland12/26/12$435511001$11,2000NA6Midwe
stIllinoisChicago8/4/15$106620001$42,8000212WestArizonaPh
oenix3/4/13$759720001$34,7000NA18MidwestKansasKansas
City6/11/15$1,615830110$80,000036WestCaliforniaSan
Francisco8/17/09$1,985921101$60,3000NA24MidwestIllinoisC
hicago5/29/15$2,0911031110$62,3000324SouthFloridaOrlando6
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YorkBuffalo4/27/11$1,2111221110$73,8000324WestUtahSalt
Lake
City8/13/11$3,1201321101$45,9002112SouthLouisianaNew
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Los
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adelphia7/28/12$5341720111$79,400316SouthTennesseeMemph
is3/1/15$2001821111$66,9000312WestWashingtonSeattle5/12/0
9$1,2201910001$12,4001NA12SouthFloridaMiami4/23/15$2292
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phia4/22/12$8794930101$36,1000212SouthFloridaMiami1/22/1
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5430111$21,5000118EastNew YorkNew
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1/8/10$2,2995630100$22,0000212EastMassachusettsBoston11/4
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5831101$65,3000318WestCaliforniaLos
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10/18/13$1,06111311001$21,9000112EastPennsylvaniaPhiladel
phia8/2/10$27611410000$16,1000NA6EastOhioCleveland3/29/1
5$20211520100$64,1002324MidwestOhioCincinnati7/29/10$1,5
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021111$83,600226EastOhioCleveland12/12/11$53812110001$1
3,4001112MidwestMissouriSt.
Louis6/9/13$14312230111$54,7000224WestColoradoDenver7/2
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sas
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attle12/20/09$23821511011$36,9000218SouthFloridaOrlando1/
31/11$72121621111$96,1003112WestWashingtonSeattle2/11/12
$31621710001$11,7000112MidwestMissouriSt.
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2/14/10$43823321101$52,9001NA24MidwestIndianaIndianapoli

s2/6/15$2,31623411011$53,6001224WestColoradoDenver8/3/14
$97323521001$55,600026WestUtahSalt Lake
City9/29/13$98423631110$52,0000318MidwestOhioCincinnati4
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York12/24/14$1,65123821010$64,6002NA24SouthTennesseeMe
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nnati7/14/15$45824021111$100,0001324WestWashingtonSeattl
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City5/30/12$96124221111$107,3002224EastPennsylvaniaPhilad
elphia7/3/12$1,19424321111$85,6000324MidwestOhioCincinna
ti4/27/15$3,38024421110$82,4002324MidwestIndianaIndianapo
lis3/25/14$2,03524521100$55,6000318MidwestKentuckyLouisv
ille10/17/09$1,78624621001$54,7000224MidwestIndianaIndian
apolis9/19/09$1,35524720001$46,5001224EastPennsylvaniaPitt
sburgh8/25/15$82924830101$35,9000NA12SouthFloridaOrland
o6/17/15$96224921011$106,1003112WestWashingtonSeattle11/
23/11$47225021101$49,2003112EastNew
YorkBuffalo7/29/15$21025110000$10,800316MidwestKansasK
ansas
City12/2/11$12325221001$45,2001218WestWashingtonSeattle3
/17/15$69925330000$20,4000NA24SouthFloridaOrlando3/21/15
$51325421110$95,8003NA12SouthTexasHouston3/19/15$2,581
25521111$111,4000312MidwestIllinoisChicago1/18/09$2,13625
630111$49,2000212MidwestKentuckyLouisville9/14/14$1,0782
5721010$48,8002NA12SouthTexasHouston5/24/15$1,64725810
101$82,8000NA6EastNew YorkNew
York5/27/15$1,54426010000$12,900116SouthTexasDallas2/11/
09$16726120111$44,1001224WestColoradoDenver12/9/10$704
26220010$72,9000318MidwestIndianaIndianapolis6/23/12$2,07
421101$59,7001NA18WestWashingtonSeattle4/17/15$1,422265
31101$40,2002NA18WestArizonaPhoenix3/21/15$1,197266211
01$62,8003NA6EastOhioCleveland6/19/15$70726730000$22,60
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uthTennesseeMemphis12/24/13$34226910101$33,4001NA6Mid

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18449331111$58,3000224EastNew YorkNew
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8/31/11$24751521111$77,0000312EastOhioCleveland6/20/11$2
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$39251730111$61,0000NA18MidwestKentuckyLouisville1/6/15
$1,85051831110$37,0000212SouthFloridaOrlando5/17/10$8505
1910001$25,3003NA6WestArizonaPhoenix3/25/15$5105201001
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7754010111$42,4001NA18MidwestKentuckyLouisville8/27/15$
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polis8/19/15$92754830101$43,3000NA12EastOhioCleveland8/2
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hicago4/9/10$64756520100$62,5003NA6SouthTennesseeMemp
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4000NA24SouthLouisianaNew
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9$22462321111$76,7001224MidwestIllinoisChicago12/12/10$1,
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863420111$100,8001324WestColoradoDenver11/24/09$1,78963
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17668011001$17,6000NA6WestCaliforniaLos
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65768820001$40,4001124EastPennsylvaniaPhiladelphia8/10/09
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os
Angeles9/19/11$31773920000$45,6000312WestCaliforniaLos
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w
Orleans1/4/09$2,18375220110$101,7001NA24WestArizonaPhoe
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gh7/31/12$22075420000$45,5001NA18SouthTexasHouston4/28/
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Orleans10/3/10$58075710100$31,9000NA12WestArizonaPhoeni
x2/10/15$86075820100$25,3001NA6SouthFloridaMiami4/14/15
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20101$47,9000NA12MidwestIndianaIndianapolis2/12/15$1,090
76120011$66,3002212WestCaliforniaSan

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00212WestCaliforniaSan
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58777821001$34,2001118SouthTexasDallas7/30/09$523779110
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03NA6MidwestKansasKansas
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2/9/15$36278321110$123,0001324WestWashingtonSeattle3/8/1
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Louis1/11/15$1,84678530011$70,9000324EastPennsylvaniaPitts
burgh1/7/14$1,68578611000$20,3002124SouthLouisianaNew
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aNew
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cago8/16/09$2,29682420010$60,1001318EastNew
YorkBuffalo8/3/14$1,43082530111$77,6000318WestCalifornia
San
Francisco4/24/14$2,00482611011$69,7001212EastPennsylvania
Philadelphia10/23/10$1,43282710000$17,300016MidwestKansa
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City3/29/12$41182820011$66,5001NA24EastMassachusettsBost
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olis11/27/10$55083010001$13,1000NA18SouthTennesseeMemp

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Louis1/15/15$1,01783311001$21,3000124WestArizonaPhoenix
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1,28084120101$68,4000312WestCaliforniaSan
Francisco6/20/10$1,30484220111$131,5003NA6MidwestKansas
Kansas
31/09$39584430111$51,0000212EastNew
YorkBuffalo12/28/13$1,02584510010$47,2001212WestArizona
Phoenix3/30/09$1,27284621000$36,7001224WestColoradoDenv
er2/22/13$1,21884721111$83,9000324SouthLouisianaNew
Orleans1/4/15$1,72184830110$78,9000318WestCaliforniaLos
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2/17/13$99285021111$77,100226MidwestIndianaIndianapolis6/
17/15$56885130001$37,0001NA6EastNew YorkNew
York8/14/15$63285220110$77,6003212EastPennsylvaniaPittsbu
rgh4/26/15$85885310000$18,400116SouthTennesseeMemphis1/
3/10$30385410000$10,2002118MidwestIllinoisChicago3/16/13$
21385521000$52,2000324WestColoradoDenver4/12/14$1,90985
Orleans3/21/15$2,23885831101$69,1000312WestCaliforniaLos
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ttle1/23/14$24286011011$45,800026EastOhioCleveland10/15/1
2$48986130110$100,1000312EastPennsylvaniaPhiladelphia12/1
8/09$3,10486210100$16,3000NA12MidwestOhioCincinnati6/4/
15$36086310010$32,7001NA18SouthTexasHouston6/24/15$1,2
7686420001$32,700216MidwestIllinoisChicago9/4/09$2738652
1111$71,6001NA12WestWashingtonSeattle5/22/15$1,19886610

001$26,7001NA12SouthLouisianaNew
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ttle2/27/15$47086811011$45,500026WestWashingtonSeattle4/2
1/10$75486910100$33,2002212MidwestMissouriSt.
Louis4/24/09$60787020011$72,900316WestArizonaPhoenix3/9/
13$25287120011$96,7002212SouthTexasHouston5/5/10$1,2318
City7/19/11$24787321010$52,8002212SouthTennesseeMemphis
9/23/14$92687421111$60,5003112EastNew YorkNew
York4/30/14$34087530111$26,7000124WestCaliforniaLos
Angeles7/11/09$1,12087621001$63,600036EastOhioCleveland3
/14/10$1,31887710101$27,1002124MidwestIllinoisChicago2/27
/12$43787820001$27,2003124SouthTexasHouston3/27/09$2438
7920011$87,7003NA24EastPennsylvaniaPittsburgh2/22/15$2,44
688021100$68,7001NA24SouthTexasDallas8/28/15$1,69988121
101$60,2003NA12EastPennsylvaniaPittsburgh4/8/15$1,3648821
0011$47,3000NA6SouthTexasHouston6/10/15$64088331100$61
,000036WestArizonaPhoenix2/25/13$97588421111$84,2000324
SouthLouisianaNew
Orleans4/25/09$1,65488520111$86,9000318WestColoradoDenv
er9/25/14$2,23088610000$21,7003NA24WestUtahSalt Lake
City8/6/15$70888711001$17,6000NA6MidwestIndianaIndianap
olis6/3/15$24588821100$50,1001318MidwestIndianaIndianapol
is7/18/11$1,07188920001$42,7000212MidwestIndianaIndianapo
lis9/2/11$82789021001$41,8003124EastPennsylvaniaPittsburgh
2/26/13$30189111010$53,6003224EastOhioCleveland7/27/10$1
,56089221111$96,900036SouthLouisianaNew
Orleans9/12/09$1,15989311001$10,2000NA24WestCaliforniaLo
s Angeles4/4/15$36289421000$49,0000318WestCaliforniaLos
Angeles6/10/11$1,52389531110$74,5000NA18SouthFloridaOrla
ndo1/6/15$1,41389611001$19,8002112MidwestOhioCincinnati8
/17/14$20989730000$13,900016EastNew
YorkBuffalo9/6/14$1,05189930111$52,2001212MidwestOhioCi
ncinnati5/28/10$66990010110$70,9000NA6EastOhioCleveland8
/22/15$69090130101$24,400016EastNew

YorkBuffalo3/23/14$49190220011$68,8000NA6SouthFloridaOr
lando7/10/15$1,65890311001$10,4000NA18MidwestIndianaIndi
anapolis6/21/15$18990421110$79,200136WestUtahSalt Lake
17/14$30390620101$43,1000NA24EastPennsylvaniaPhiladelphi
a2/20/15$1,44490710101$27,8003NA12WestArizonaPhoenix8/1
0/15$40890821111$97,2000NA12MidwestOhioCincinnati3/17/1
5$1,63490921001$38,6001118WestArizonaPhoenix11/18/14$54
0001$29,2003NA6SouthFloridaOrlando4/8/15$63691311001$10
,2002NA12MidwestIllinoisChicago7/23/15$33391410000$14,30
0216WestUtahSalt Lake
City2/26/13$19491521001$70,000036MidwestMissouriSt.
Louis6/11/10$78591620011$79,9001218EastOhioCleveland5/26
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820011$84,2002224EastPennsylvaniaPittsburgh6/6/14$9549193
Angeles7/5/15$38592010011$13,8000118SouthFloridaOrlando1
/1/14$36392121010$72,2001312MidwestKentuckyLouisville10/
13/14$2,08292221001$49,1000NA6EastNew
YorkBuffalo6/30/15$93492320101$53,3003NA6EastPennsylvan
iaPhiladelphia7/2/15$50892421111$118,6001NA12WestColorad
oDenver2/7/15$1,55392511011$56,9002112MidwestIndianaIndi
anapolis9/6/13$68792621111$109,2003124SouthFloridaMiami5
/16/15$1,10292710001$23,2003NA24SouthTexasDallas7/6/15$7
,16292910000$25,6002NA18MidwestMissouriSt.
Louis1/18/15$42693030000$15,0000112EastNew YorkNew
York9/10/12$37893131111$168,800036EastPennsylvaniaPhilad
elphia10/15/11$1,51293231011$49,600026SouthFloridaOrlando
11/11/13$77093330100$40,600226SouthLouisianaNew
Orleans3/12/14$69093420111$111,9001NA12SouthFloridaOrla
ndo4/17/15$2,34093511000$17,5000118MidwestIndianaIndiana
polis7/12/15$47293630101$64,6000NA6MidwestKentuckyLouis
ville5/19/15$1,29893730101$33,0003NA6WestArizonaPhoenix1

/21/15$70093830101$22,800016EastNew YorkNew
York10/21/14$25893931010$23,8000NA12EastMassachusettsB
oston4/21/15$42894021110$140,0000312WestWashingtonSeattl
e2/26/09$4,89494120111$96,5001318MidwestKentuckyLouisvil
le9/6/13$1,36494210001$14,2002118EastNew
YorkBuffalo2/2/12$19794321111$98,4000318WestUtahSalt
Lake
City4/9/12$3,30594421111$82,4003NA18EastPennsylvaniaPitts
burgh1/9/15$2,12294521111$76,1000NA6EastNew
YorkBuffalo1/30/15$71994620001$43,0003124SouthLouisiana
New
Orleans12/25/09$22594730011$71,8000324EastMassachusettsB
oston8/30/11$1,94694821111$117,900036MidwestIllinoisChica
go12/13/12$1,76094931011$71,8000312EastMassachusettsBost
on7/15/12$1,38995021110$118,4002NA12SouthFloridaOrlando
8/21/15$3,94195110011$61,7000NA12EastMassachusettsBoston
2/6/15$1,16195221111$108,2003112EastNew YorkNew
York7/18/11$63595331111$75,500036SouthTexasDallas3/14/15
$74195420101$53,7003112WestWashingtonSeattle12/20/10$23
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York11/2/12$4,27995910001$14,4001118EastPennsylvaniaPhila
delphia5/25/14$22396010000$14,500116SouthFloridaMiami2/1
4/14$22296120101$48,7001NA12WestArizonaPhoenix6/10/15$
1,45796230101$12,700216SouthFloridaMiami9/26/11$6596321
010$97,6001NA12WestUtahSalt Lake
City3/9/15$2,90296421111$96,5000324SouthTexasDallas11/10/
11$3,78096530001$11,0000NA24SouthTexasHouston5/22/15$1
9596630000$14,0000112WestWashingtonSeattle5/2/15$410967
10001$21,7002NA6WestColoradoDenver4/1/15$38796831011$3
4,5000212EastOhioCleveland4/25/15$80296911001$18,2000112
MidwestIllinoisChicago12/9/13$40197020100$55,6001318West
UtahSalt Lake
City4/26/09$1,55397120111$110,4003124EastOhioCleveland2/

25/15$1,09397221111$92,3001NA24MidwestKansasKansas
City4/24/15$2,14197321100$72,3000324MidwestIndianaIndiana
polis2/21/12$4,18297421110$113,6002318WestCaliforniaSan
Francisco9/27/12$3,23797520011$88,600316EastPennsylvaniaP
hiladelphia10/28/13$21297611000$14,9001NA12SouthFloridaO
rlando4/7/15$42297711111$73,0000NA6WestCaliforniaLos
Angeles4/2/15$1,53497820101$36,9002124SouthTennesseeMe
mphis6/3/13$51497931101$62,2000NA12EastPennsylvaniaPhila
delphia2/6/15$1,58398010000$13,2000NA24SouthTexasHousto
n3/22/15$35898110001$13,300116MidwestIllinoisChicago8/25/
13$18498221101$64,3000NA6SouthLouisianaNew
Orleans1/27/15$1,32598310100$41,0001212MidwestKansasKan
sas City4/13/13$76898431110$86,5000324SouthLouisianaNew
Orleans10/17/10$2,69098521110$70,0001NA6WestWashington
Seattle6/1/15$1,22798620111$123,6001NA12SouthLouisianaNe
w Orleans3/29/15$1,89298730111$25,9000118WestUtahSalt
Lake
City5/4/13$58298821110$81,2000312MidwestKansasKansas
City11/30/10$2,69398911101$41,4000218MidwestOhioCincinn
ati4/10/13$64399010000$12,4003118SouthLouisianaNew
Orleans4/5/13$20599110001$14,1003NA6SouthTennesseeMemp
his8/8/15$15399221111$65,9001212MidwestKansasKansas
City12/26/11$1,08199331110$59,7000318MidwestOhioCincinn
ati10/23/12$1,85799411001$17,8000118MidwestKentuckyLouis
ville1/31/12$29299531101$41,900026SouthFloridaMiami7/7/13
$65499620101$53,8000212WestWashingtonSeattle8/14/15$843
$102,6000318EastPennsylvaniaPhiladelphia8/9/13$2,546999200
City3/9/12$2,464Total1216767.863
Descriptive AnalysisEmployeeGenderAgePrior ExperienceBeta
ExperienceEducationAnnual Salary
(USD)1139512457700EmployeeGenderAnnual Salary
(USD)2044128676400Mean102.50Mean0.58Mean71274.513024

02444000Standard Error4.13Standard Error0.03Standard
Error2118.10412521441600Median102.50Median1.00Median68
400.0050565258163900ModeERROR:#N/AMode1.00Mode7430
0.006141910472700Standard Deviation59.03Standard
Deviation0.49Standard Deviation30252.54713362660300Sample
Variance3485.00Sample Variance0.24Sample
Variance915215997.308037116463500Kurtosis-1.20Kurtosis-
1.90Kurtosis0.16915112166131200Skewness-0.00Skewness-
0.34Skewness0.541002301439200Range203.00Range1.00Range
151500.001103154662900Minimum1.00Minimum0.00Minimum
12400.001212708026200Maximum204.00Maximum1.00Maximu
m163900.0013047119474500Sum20910.00Sum119.00Sum14540
000.001413555664800Count204.00Count204.00Count204.00151
295402160016046415681900AgePrior
Experience1715010174115400Mean39.57Mean6.271803036457
800Standard Error0.77Standard
Error0.3519134101455800Median39.00Median5.002014211847
6100Mode33.00Mode0.002115110158135700Standard
Deviation10.95Standard
Deviation5.012206316204140400Sample Variance119.84Sample
Variance25.062302805455400Kurtosis-0.78Kurtosis-
0.112413241449700Skewness0.20Skewness0.572505511166134
800Range47.00Range20.0026145202476900Minimum18.00Mini
mum0.0027034212228700Maximum65.00Maximum20.00280332
7458800Sum8072.00Sum1279.002912301443100Count204.00Co
unt204.003004041368240031148615480100Beta
ExperienceEducation3212706027000Mean8.80Mean4.29331365
5658800Standard Error0.43Standard
Error0.12340589224133100Median7.00Median4.003503111653
700Mode1.00Mode4.003612101226700Standard
Deviation6.21Standard Deviation1.6737047516481300Sample
Variance38.55Sample Variance2.793813537455400Kurtosis-
0.75Kurtosis0.903915212148139900Skewness0.54Skewness-
0.334002933233200Range24.00Range8.0041142117475000Mini
mum1.00Minimum0.004206010214128200Maximum25.00Maxi
mum8.0043150813476800Sum1795.00Sum876.00441331265420

0Count204.00Count204.004502605232600460386665920047144
71247480048025034455004913785446500500531313613630051
04671848690052120010239005313451652700541601213492700
55136674595005604163669400571333164660058029384617005
90481194882006014304645000611611050522006203051661400
63136519487500641487234103700651295645400066026112341
25100671495112459006802810267930069144205610860070148
01366820071050021265200721481214495600731301612410310
07414120234143500750351154782007612833440200771338546
05007816107440500791531084738008014844445300810479146
14008214847664800831551136756008403211969580085060114
81267008605010246700087149161241026008802243452000891
51910476000901220388300091147813480800921411010691100
93024310301009416457455700951430114514009602231443800
97159014250009803210152806009914585239600100047012134
00101129618488200102061915610910010315731434200104165
49457800105034674681001060546136949001071305566320010
81396164827001090327868560011012427227100111040103469
80011205213448130011302811547840011405320961273001150
43024493700116030566744001170463344830011813810136989
00119028016473300120146111961173001211305503780012214
36144774001231291118111200124048114475300125042717496
90012601810196123600127035624552001281220101240012914
44154739001301472044941001311341084743001321371144669
00133149042125001340320186902001351375845900013612910
19611470013702471527170013804320180125500139154111741
00200140126046454001410471044722001421315124695001430
33111467900144042276675001451342143180014615901022780
01471435466020014813022434500149145712687000150150042
12500151023015812270015214457456200153048106256900154
14741246600015502011447600015613101624410015703001847
85001581425134718001591259768070016012421524780016103
61313410500016203261561007001631272101830016405512126
11060016503602436800166122046455001671250146714001681
47514474300169043161181606001701530765250017103857465
00017203912144104500173135518485000174123310811020017

50431074801001761333344000017714410145590017813301646
46001791310136686001801367846510018114513194111700182
14512146200018303927455800184045511254600185025114376
00186134074412001871530664990018803546459400189152313
46550019013310367320019114903430500192159617484800193
13516949520019414411114849001951611118410260019614311
14590001970300544480019803211247050019905710468370020
01441018410000020114424439300202145072204002030430126
7430020403311194114500
Graphs For Descriptive DataEmployeeGenderAgePrior
ExperienceBeta ExperienceEducationAnnual Salary
(USD)11395124577002044128676400302402444000412521441
60050565258163900614191047270071336266030080371164635
00915112166131200100230143920011031546629001212708026
20013047119474500141355566480015129540216001604641568
19001715010174115400180303645780019134101455800201421
18476100211511015813570022063162041404002302805455400
24132414497002505511166134800261452024769002703421222
87002803327458800291230144310030040413682400311486154
80100321270602700033136556588003405892241331003503111
65370036121012267003704751648130038135374554003915212
14813990040029332332004114211747500042060102141282004
31508134768004413312654200450260523260046038666592004
71447124748004802503445500491378544650050053131361363
00510467184869005212001023900531345165270054160121349
27005513667459500560416366940057133316466005802938461
70059048119488200601430464500061161105052200620305166
14006313651948750064148723410370065129564540006602611
23412510067149511245900680281026793006914420561086007
01480136682007105002126520072148121449560073130161241
03100741412023414350075035115478200761283344020077133
85460500781610744050079153108473800801484444530081047
91461400821484766480083155113675600840321196958008506
01148126700860501024670008714916124102600880224345200
08915191047600090122038830009114781348080092141101069
11009302431030100941645745570095143011451400960223144

38009715901425000980321015280600991458523960010004701
21340010112961848820010206191561091001031573143420010
41654945780010503467468100106054613694900107130556632
00108139616482700109032786856001101242722710011104010
34698001120521344813001130281154784001140532096127300
11504302449370011603056674400117046334483001181381013
69890011902801647330012014611196117300121130550378001
22143614477400123129111811120012404811447530012504271
74969001260181019612360012703562455200128122010124001
29144415473900130147204494100131134108474300132137114
46690013314904212500134032018690200135137584590001361
29101961147001370247152717001380432018012550013915411
17410020014012604645400141047104472200142131512469500
14303311146790014404227667500145134214318001461590102
27800147143546602001481302243450014914571268700015015
00421250015102301581227001521445745620015304810625690
01541474124660001550201144760001561310162441001570300
18478500158142513471800159125976807001601242152478001
61036131341050001620326156100700163127210183001640551
21261106001650360243680016612204645500167125014671400
16814751447430016904316118160600170153076525001710385
74650001720391214410450017313551848500017412331081102
00175043107480100176133334400001771441014559001781330
16464600179131013668600180136784651001811451319411170
01821451214620001830392745580018404551125460018502511
43760018613407441200187153066499001880354645940018915
23134655001901331036732001911490343050019215961748480
01931351694952001941441111484900195161111841026001961
43111459000197030054448001980321124705001990571046837
00200144101841000002011442443930020214507220400203043
01267430020403311194114500
Number of Employees
1 2 3 4 5 6 7 8 9 10 11 12 13
14 15 16 17 18 19 20 21 22 23 24 25
26 27 28 29 30 31 32 33 34 35 36 37
38 39 40 41 42 43 44 45 46 47 48 49

50 51 52 53 54 55 56 57 58 59 60 61
62 63 64 65 66 67 68 69 70 71 72 73
74 75 76 77 78 79 80 81 82 83 84 85
86 87 88 89 90 91 92 93 94 95 96 97
98 99 100 101 102 103 104 105 106 107 108
109 110 111 112 113 114 115 116 117 118 119
120 121 122 123 124 125 126 127 128 129 130
131 132 133 134 135 136 137 138 139 140 141
142 143 144 145 146 147 148 149 150 151 152
153 154 155 156 157 158 159 160 161 162 163
164 165 166 167 168 169 170 171 172 173 174
175 176 177 178 179 180 181 182 183 184 185
186 187 188 189 190 191 192 193 194 195 196
197 198 199 200 201 202 203 204
Age of Employees
39 44 24 25 56 41 33 37 51 23 31 27 47
35 29 46 50 30 34 42 51 63 28 32 55
45 34 33 23 40 48 27 36 58 31 21 47
35 52 29 42 60 50 33 26 38 44 25 37
53 46 20 34 60 36 41 33 29 48 43 61
30 36 48 29 26 49 28 44 48 50 48 30
41 35 28 33 61 53 48 47 48 55 32 60
50 49 22 51 22 47 41 24 64 43 22 59
32 45 47 29 61 57 65 34 54 30 39 32
24 40 52 28 53 43 30 46 38 28 46 30
43 29 48 42 18 35 22 44 47 34 37 49
32 37 29 24 43 54 26 47 31 33 42 34
59 43 30 45 50 23 44 48 47 20 31 30
42 25 24 36 32 27 55 36 22 25 47 43
53 38 39 35 23 43 33 44 33 31 36 45
45 39 45 25 34 53 35 52 33 49 59 35
44 61 43 30 32 57 44 44 45 43 33
Prior Experience
5 12 0 2 5 9 6 11 12 0 5 0 11
5 5 4 10 3 10 11 10 16 0 4 11
20 2 2 0 4 6 0 5 9 1 0 5

3 12 3 11 10 8 1 0 6 7 0 8
13 7 0 5 12 6 6 3 3 11 0 10
5 5 7 5 11 5 10 20 0 0 12 16
20 11 3 8 0 10 4 9 4 11 1 11
10 16 4 9 0 8 10 3 5 0 3 0
10 8 0 6 9 3 4 6 6 5 6 7
2 10 13 11 20 0 5 3 10 0 11 5
6 11 11 7 10 6 0 4 20 10 11 0
0 5 10 7 20 11 0 10 5 11 2 2
0 5 2 7 0 0 5 10 4 11 0 0
5 9 2 13 6 2 12 0 0 0 5 16
0 5 12 5 3 10 3 10 0 0 7 13
12 2 5 1 0 0 4 3 10 0 6 16
11 11 11 0 11 10 10 2 0 0 11
Beta Experience
12 8 2 1 25 10 2 6 16 1 4 8 9
5 4 15 17 6 1 8 15 20 5 1 16
2 12 7 1 13 15 6 5 22 1 1 16
7 14 3 7 21 13 2 5 6 12 3 5
13 18 1 1 13 7 3 1 8 9 4 5
1 19 23 6 23 11 2 5 13 21 14 12
23 5 3 5 7 8 4 1 7 3 19 4
2 12 3 10 3 13 10 1 7 11 1 1
15 5 1 18 15 1 9 7 13 5 16 8
7 3 4 5 9 24 6 3 13 16 19 5
14 1 4 17 19 2 1 15 4 8 4 4
18 8 19 15 18 17 4 4 12 1 7 1
10 4 2 12 4 15 7 6 12 4 16 18
13 7 15 13 15 1 12 2 4 14 14 11
7 7 14 18 10 7 3 1 16 13 8 19
1 7 11 1 7 6 6 13 3 3 17 9
11 18 1 5 2 4 18 4 7 12 19
Education Level
4 6 4 4 8 4 6 4 6 4 6 0 4
6 0 6 4 4 4 4 8 4 4 4 6
4 2 4 4 6 4 0 6 4 6 2 4

4 8 2 4 4 4 6 2 6 4 4 4
6 4 0 6 4 4 6 6 4 4 6 0
6 4 4 4 4 2 6 6 6 2 4 4
4 4 4 4 4 4 4 4 6 6 6 8
4 4 4 4 8 4 6 0 4 4 4 4
2 2 2 4 6 4 4 4 6 6 4 6
2 4 4 4 6 4 6 4 6 4 6 0
4 8 4 4 6 4 0 4 4 4 4 2
6 4 6 2 0 4 6 4 4 4 6 4
2 6 4 6 2 8 4 2 4 4 2 4
4 6 2 4 6 0 6 4 6 6 4 8
6 4 4 4 8 4 4 4 4 6 4 4
4 4 2 4 4 6 4 4 6 4 4 4
4 4 4 4 4 6 4 4 2 6 4
Annual Salary
57700 76400 44000 41600 163900 72700
60300 63500 131200 39200 62900 26200
74500 64800 21600 81900 115400 57800
55800 76100 135700 140400 55400 49700
134800 76900 28700 58800 43100 82400
80100 27000 58800 133100 53700 26700
81300 55400 139900 33200 75000 128200
76800 54200 32600 59200 74800 45500
46500 136300 86900 23900 52700 92700
59500 69400 46600 61700 88200 45000
52200 61400 87500 103700 54000 125100
45900 79300 108600 68200 65200 95600
103100 143500 78200 40200 60500 40500
73800 45300 61400 64800 75600 95800
126700 67000 102600 52000 76000 83000
80800 91100 30100 55700 51400 43800
25000 80600 39600 13400 88200 109100
34200 57800 68100 94900 63200 82700
85600 27100 69800 81300 78400 127300
93700 74400 48300 98900 73300 117300
37800 77400 111200 75300 96900 123600

55200 12400 73900 94100 74300 66900
12500 90200 59000 114700 71700 125500
100200 45400 72200 695 00 67900 67500
31800 27800 60200 34500 87000 12500
122700 56200 56900 66000 76000 44100
78500 71800 80700 47800 105000 100700
18300 110600 36800 45500 71400 74300
160600 52500 65000 104500 85000 110200
80100 40000 55900 64600 68600 65100
111700 62000 55800 54600 37600 41200
49900 59400 65500 73200 30500 84800
95200 84900 102600 59000 44800 70500
83700 100000 39300 20400 74300 114500
Gender of Employees
1 0 0 1 0 1 1 0 1 0 0 1 0
1 1 0 1 0 1 1 1 0 0 1 0
1 0 0 1 0 1 1 1 0 0 1 0
1 1 0 1 0 1 1 0 0 1 0 1
0 0 1 1 1 1 0 1 0 0 1 1
0 1 1 1 0 1 0 1 1 0 1 1
1 0 1 1 1 1 1 0 1 1 0 0
0 1 0 1 1 1 1 0 1 1 0 1
0 1 0 1 0 1 1 0 0 1 1 0
1 0 0 0 0 0 0 0 1 0 1 1
1 1 0 0 0 0 1 1 1 1 1 1
0 1 1 0 0 1 1 0 1 0 0 1
1 1 1 1 1 0 1 0 1 0 1 0
1 1 1 0 0 1 0 0 1 1 1 0
1 0 0 1 1 0 1 1 1 1 1 1
1 0 0 0 1 1 0 1 1 1 1 1
1 1 1 0 0 0 1 1 1 0 0
Regression AnalysisEmployeeGenderAgePrior ExperienceBeta
ExperienceEducationAnnual Salary
(USD)1139512457700SUMMARY
OUTPUT2044128676400SUMMARY

OUTPUT302402444000Regression
Statistics412521441600Multiple R0.54Regression
Statistics50565258163900R Square0.29Multiple
R0.216141910472700Adjusted R Square0.29R
Square0.04713362660300Standard Error25546.42Adjusted R
Square0.048037116463500Observations204.00Standard
Error29648.95915112166131200Observations204.00100230143
9200ANOVA1103154662900dfSSMSFSignificance
FANOVA1212708026200Regression1.0053959664674.3653959
664674.3682.680.00dfSSMSFSignificance
F13047119474500Residual202.00131829182776.62652619716.7
2Regression1.008218729434.178218729434.179.350.001413555
664800Total203.00185788847450.98Residual202.00177570118
016.81879059990.181512954021600Total203.00185788847450.
9816046415681900CoefficientsStandard Errort StatP-
valueLower 95%Upper 95%Lower 95.0%Upper
95.0%1715010174115400Intercept29359.944944.425.940.00196
10.6539109.2319610.6539109.23CoefficientsStandard Errort
StatP-valueLower 95%Upper 95%Lower 95.0%Upper
95.0%1803036457800Education9760.931073.469.090.007644.3
011877.557644.3011877.55Intercept78784.713215.8824.500.00
72443.7185125.7072443.7185125.7019134101455800Gender-
12874.624210.57-3.060.00-21176.94-4572.31-21176.94-
4572.312014211847610021151101581357002206316204140400
PROBABILITY OUTPUT2302805455400PROBABILITY
OUTPUT2413241449700PercentileAnnual Salary
(USD)25055111661348000.245098039212400PercentileAnnual
Salary
(USD)261452024769000.7352941176125000.245098039212400
270342122287001.2254901961125000.73529411761250028033
274588001.7156862745134001.22549019611250029123014431
002.2058823529183001.715686274513400300404136824002.69
60784314204002.205882352918300311486154801003.1862745
098216002.69607843142040032127060270003.6764705882239
003.18627450982160033136556588004.1666666667250003.676
4705882239003405892241331004.6568627451262004.1666666

6672500035031116537005.1470588235267004.6568627451262
0036121012267005.637254902270005.14705882352670037047
5164813006.1274509804271005.6372549022700038135374554
006.6176470588278006.12745098042710039152121481399007.
1078431373287006.61764705882780040029332332007.598039
2157301007.107843137328700411421174750008.08823529413
05007.59803921573010042060102141282008.57843137253180
08.088235294130500431508134768009.068627451326008.5784
3137253180044133126542009.5588235294332009.0686274513
2600450260523260010.0490196078342009.5588235294332004
60386665920010.53921568633450010.04901960783420047144
71247480011.02941176473680010.53921568633450048025034
4550011.51960784313760011.029411764736800491378544650
012.00980392163780011.5196078431376005005313136136300
12.53920012.0098039216378005104671848690012.9901960784
3930012.539200521200102390013.48039215693960012.990196
078439300531345165270013.97058823534000013.4803921569
3960054160121349270014.46078431374020013.970588235340
000551366745950014.95098039224050014.4607843137402005
60416366940015.44117647064120014.95098039224050057133
3164660015.9313725494160015.4411764706412005802938461
70016.42156862754310015.93137254941600590481194882001
6.91176470594380016.421568627543100601430464500017.401
96078434400016.9117647059438006116110505220017.892156
86274410017.401960784344000620305166140018.3823529412
4480017.8921568627441006313651948750018.8725490196450
0018.38235294124480064148723410370019.362745098453001
8.872549019645000651295645400019.85294117654540019.362
74509845300660261123412510020.34313725494550019.85294
11765454006714951124590020.83333333334550020.34313725
49455006802810267930021.32352941184590020.83333333334
550069144205610860021.81372549024650021.3235294118459
007014801366820022.30392156864660021.8137254902465007
105002126520022.79411764714780022.3039215686466007214
8121449560023.28431372554830022.794117647147800731301
612410310023.77450980394970023.2843137255483007414120

23414350024.26470588244990023.77450980394970075035115
47820024.75490196085140024.26470588244990076128334402
0025.24509803925200024.754901960851400771338546050025.
73529411765220025.245098039252000781610744050026.2254
9019615250025.7352941176522007915310847380026.7156862
7455270026.225490196152500801484444530027.20588235295
370026.715686274552700810479146140027.696078431454000
27.205882352953700821484766480028.18627450985420027.69
60784314540008315511367560028.67647058825460028.18627
45098542008403211969580029.16666666675520028.67647058
825460085060114812670029.65686274515540029.1666666667
552008605010246700030.14705882355540029.6568627451554
00871491612410260030.6372549025570030.147058823555400
880224345200031.12745098045580030.6372549025570089151
91047600031.61764705885580031.12745098045580090122038
8300032.10784313735590031.617647058855800911478134808
0032.59803921575620032.107843137355900921411010691100
33.08823529415690032.598039215756200930243103010033.57
843137255770033.088235294156900941645745570034.068627
4515780033.5784313725577009514301145140034.5588235294
5780034.06862745157800960223144380035.049019607858800
34.558823529457800971590142500035.53921568635880035.04
901960785880098032101528060036.02941176475900035.5392
15686358800991458523960036.51960784315900036.02941176
47590001000470121340037.00980392165920036.51960784315
900010112961848820037.55940037.0098039216592001020619
15610910037.99019607845950037.5594001031573143420038.4
8039215696020037.9901960784595001041654945780038.9705
8823536030038.4803921569602001050346746810039.4607843
1376050038.97058823536030010605461369490039.950980392
26140039.4607843137605001071305566320040.441176470661
40039.95098039226140010813961648270040.93137254961700
40.4411764706614001090327868560041.42156862756200040.9
31372549617001101242722710041.91176470596290041.42156
862756200011104010346980042.40196078436320041.9117647
0596290011205213448130042.89215686276350042.401960784

36320011302811547840043.38235294126460042.89215686276
3500114053209612730043.87254901966480043.382352941264
60011504302449370044.3627450986480043.872549019664800
1160305667440044.85294117656500044.362745098648001170
463344830045.34313725496510044.8529411765650001181381
01369890045.83333333336520045.34313725496510011902801
647330046.32352941186550045.8333333333652001201461119
611730046.81372549026600046.3235294118655001211305503
780047.30392156866690046.8137254902660001221436144774
0047.79411764716700047.303921568666900123129111811120
048.28431372556750047.7941176471670001240481144753004
8.77450980396790048.28431372556750012504271749690049.2
6470588246810048.7745098039679001260181019612360049.7
5490196086820049.2647058824681001270356245520050.2450
9803926860049.7549019608682001281220101240050.7352941
1766940050.24509803926860012914441547390051.225490196
16950050.73529411766940013014720449410051.71568627456
980051.22549019616950013113410847430052.2058823529705
0051.71568627456980013213711446690052.696078431471400
52.2058823529705001331490421250053.18627450987170052.6
9607843147140013403201869020053.67647058827180053.186
2745098717001351375845900054.16666666677220053.676470
5882718001361291019611470054.65686274517270054.166666
66677220013702471527170055.14705882357320054.65686274
51727001380432018012550055.6372549027330055.147058823
5732001391541117410020056.12745098047380055.637254902
733001401260464540056.61764705887390056.1274509804738
0014104710447220057.10784313737430056.617647058873900
14213151246950057.59803921577430057.10784313737430014
303311146790058.08823529417430057.5980392157743001440
422766750058.57843137257440058.0882352941743001451342
143180059.0686274517450058.57843137257440014615901022
780059.55882352947480059.0686274517450014714354660200
60.04901960787500059.5588235294748001481302243450060.5
3921568637530060.04901960787500014914571268700061.029
41176477560060.5392156863753001501500421250061.519607

84317600061.029411764775600151023015812270062.0098039
2167600061.5196078431760001521445745620062.57610062.00
980392167600015304810625690062.99019607847640062.5761
0015414741246600063.48039215697680062.990196078476400
15502011447600063.97058823537690063.48039215697680015
613101624410064.46078431377740063.9705882353769001570
3001847850064.95098039227820064.460784313777400158142
51347180065.44117647067840064.95098039227820015912597
68070065.9313725497850065.441176470678400160124215247
80066.42156862757930065.93137254978500161036131341050
0066.91176470598010066.421568627579300162032615610070
067.40196078438010066.9117647059801001631272101830067.
89215686278060067.4019607843801001640551212611060068.
38235294128070067.8921568627806001650360243680068.872
54901968080068.3823529412807001661220464550069.362745
0988130068.87254901968080016712501467140069.852941176
58130069.3627450988130016814751447430070.343137254981
90069.8529411765813001690431611816060070.833333333382
40070.3431372549819001701530765250071.323529411882700
70.8333333333824001710385746500071.81372549028300071.3
235294118827001720391214410450072.30392156868370071.8
1372549028300017313551848500072.79411764718480072.303
921568683700174123310811020073.28431372558490072.7941
1764718480017504310748010073.77450980398500073.284313
7255849001761333344000074.26470588248560073.774509803
98500017714410145590074.75490196088690074.26470588248
560017813301646460075.24509803928700074.7549019608869
0017913101366860075.73529411768750075.245098039287000
1801367846510076.22549019618820075.735294117687500181
1451319411170076.71568627458820076.225490196188200182
14512146200077.20588235299020076.71568627458820018303
92745580077.69607843149110077.20588235299020018404551
125460078.18627450989270077.6960784314911001850251143
760078.67647058829370078.1862745098927001861340744120
079.16666666679410078.6764705882937001871530664990079.
65686274519490079.1666666667941001880354645940080.147

05882359520079.65686274519490018915231346550080.63725
49029560080.14705882359520019013310367320081.12745098
049580080.637254902956001911490343050081.617647058896
90081.12745098049580019215961748480082.10784313739890
081.61764705889690019313516949520082.5980392157100000
82.107843137398900194144111148490083.0882352941100200
82.59803921571000001951611118410260083.57843137251007
0083.088235294110020019614311145900084.06862745110260
083.57843137251007001970300544480084.5588235294102600
84.06862745110260019803211247050085.04901960781031008
4.558823529410260019905710468370085.53921568631037008
5.04901960781031002001441018410000086.029411764710450
085.53921568631037002011442443930086.5196078431105000
86.02941176471045002021450722040087.00980392161086008
6.519607843110500020304301267430087.510910087.00980392
161086002040331119411450087.990196078411020087.510910
088.480392156911060087.990196078411020088.970588235311
120088.480392156911060089.460784313711170088.970588235
311120089.950980392211450089.460784313711170090.441176
470611470089.950980392211450090.93137254911540090.4411
76470611470091.421568627511730090.93137254911540091.91
1764705912270091.421568627511730092.40196078431236009
1.911764705912270092.892156862712510092.40196078431236
0093.382352941212550092.892156862712510093.87254901961
2670093.382352941212550094.36274509812730093.872549019
612670094.852941176512820094.36274509812730095.3431372
54913120094.852941176512820095.833333333313310095.3431
37254913120096.323529411813480095.833333333313310096.8
13725490213570096.323529411813480097.3039215686136300
96.813725490213570097.794117647113990097.3039215686136
30098.284313725514040097.794117647113990098.7745098039
14350098.284313725514040099.264705882416060098.7745098
03914350099.754901960816390099.264705882416060099.7549
019608163900
Normal Probability Plot
0.24509803921568626 0.73529411764705876

1.2254901960784312 1.7156862745098038
2.2058823529411762 2.6960784313725488
3.1862745098039214 3.6764705882352939
4.1666666666666661 4.6568627450980387
5.1470588235294112 5.6372549019607838
6.1274509803921564 6.617647058823529
7.1078431372549016 7.5980392156862742
8.0882352941176467 8.5784313725490176
9.0686274509803901 9.5588235294117627
10.049019607843135 10.539215686274508
11.02941176470588 11.519607843137253
12.009803921568626 12.499999999999998
12.99019607843 1371 13.480392156862743
13.970588235294116 14.460784313725489
14.950980392156861 15.441176470588234
15.931372549019606 16.421568627450981
16.911764705882351 17.401960784313726
17.892156862745097 18.382352941176471
18.872549019607842 19.362745098039216
19.852941176470587 20.343137254901961
20.833333333333332 21.323529411764707
21.813725490196077 22.303921568627452
22.794117647058822 23.284313725490197
23.774509803921568 24.264705882352942
24.754901960784313 25.245098039215687
25.735294117647058 26.225490196078432
26.715686274509803 27.205882352941178
27.696078431372548 28.186274509803923
28.676470588235293 29.166666666666668
29.656862745098039 30.147058823529413
30.637254901960784 31.127450980392158
31.617647058823529 32.107843137254896
32.598039215686271 33.088235294117645
33.578431372549012 34.068627450980387
34.558823529411761 35.049019607843135
35.539215686274503 36.029411764705877

36.519607843137251 37.009803921568626
37.499999999999993 37.990196078431367
38.480392156862742 38.970588235294116
39.460784313725483 39.950980392156858
40.441176470588232 40.931372549019606
41.421568627450974 41.911764705882348
42.401960784313722 42.892156862745097
43.382352941176464 43.872549019607838
44.362745098039213 44.852941176470587
45.343137254901954 45.833333333333329
46.323529411764703 46.813725490196077
47.303921568627445 47.794117647058819
48.284313725490193 48.774509803921561
49.264705882352935 49.754901960784309
50.245098039215684 50.735294117647051
51.225490196078425 51.7156862745098
52.205882352941174 52.696078431372541
53.186274509803916 53.67647058823529
54.166666666666664 54.656862745098032
55.147058823529406 55.63725490196078
56.127450980392155 56.617647058823522
57.107843137254896 57.598039215686271
58.088235294117645 58.578431372549012
59.068627450980387 59.558823529411761
60.049019607843135 60.539215686274503
61.029411764705877 61.519607843137251
62.009803921568626 62.499999999999993
62.990196078431367 63.480392156862742
63.970588235294109 64.460784313725497
64.950980392156865 65.441176470588232
65.931372549019613 66.421568627450981
66.911764705882348 67.401960784313729
67.892156862745097 68.382352941176478
68.872549019607845 69.362745098039213
69.852941176470594 70.343137254901961
70.833333333333329 71.32352941176471

71.813725490196077 72.303921568627459
72.794117647058826 73.284313725490193
73.774509803921575 74.264705882352942
74.754901960784309 75.245098039215691
75.735294117647058 76.225490196078439
76.715686274509807 77.205882352941174
77.696078431372555 78.186274509803923
78.67647058823529 79.166666666666671
79.656862745098039 80.147058823529406
80.637254901960787 81.127450980392155
81.617647058823536 82.107843137254903
82.598039215686271 83.088235294117652
83.578431372549019 84.068627450980387
84.558823529411768 85.049019607843135
85.539215686274517 86.029411764705884
86.519607843137251 87.009803921568633 87.5
87.990196078431367 88.480392156862749
88.970588235294116 89.460784313725497
89.950980392156865 90.441176470588232
90.931372549019613 91.421568627450981
91.911764705882348 92.401960784313729
92.892156862745097 93.382352941176478
93.872549019607845 94.362745098039213
94.852941176470594 95.343137254901961
95.833333333333329 96.32352941176471
96.813725490196077 97.303921568627445
97.794117647058826 98.284313725490193
98.774509803921575 99.264705882352942
99.754901960784309 12400 12500 12500
13400 18300 20400 21600 23900 25000
26200 26700 27000 27100 27800 28700
30100 30500 31800 32600 33200 34200
34500 36800 37600 37800 39200 39300
39600 40000 40200 40500 41200 41600
43100 43800 44000 44100 44800 45000
45300 45400 45500 45500 45900 46500

46600 47800 48300 49700 49900 51400
52000 52200 52500 52700 53700 54000
54200 54600 55200 55400 55400 55700
55800 55800 55900 56200 56900 57700
57800 57800 58800 58800 59000 59000
59200 59400 59500 60200 60300 60500
61400 61400 61700 62000 62900 63200
63500 64600 64800 64800 65000 65100
65200 65500 66000 66900 67000 67500
67900 68100 68200 68600 69400 69500
69800 70500 71400 71700 71800 72200
72700 73200 73300 73800 73900 74300
74300 74300 74400 74500 74800 75000
75300 75600 76000 76000 76100 76400
76800 76900 77400 78200 78400 78500
79300 80100 80100 80600 80700 80800
81300 81300 81900 82400 82700 83000
83700 84800 84900 85000 85600 86900
87000 87500 88200 88200 90200 91100
92700 93700 94100 94900 95200 95600
95800 96900 98900 100000 100200 100700
102600 102600 103100 103700 104500 105000
108600 109100 110200 110600 111200 111700
114500 114700 115400 117300 122700 123600
125100 125500 126700 127300 128200 131200
133100 134800 135700 136300 139900 140400
143500 160600 163900
Sample Percentile
Annual Salary (USD)
0.24509803921568626 0.73529411764705876
1.2254901960784312 1.7156862745098038
2.2058823529411762 2.6960784313725488
3.1862745098039214 3.6764705882352939
4.1666666666666661 4.6568627450980387
5.1470588235294112 5.6372549019607838

6.1274509803921564 6.617647058823529
7.1078431372549016 7.5980392156862742
8.0882352941176467 8.5784313725490176
9.0686274509803901 9.5588235294117627
10.049019607843135 10.539215686274508
11.02941176470588 11.519607843137253
12.009803921568626 12.499999999999998
12.99019607843 1371 13.480392156862743
13.970588235294116 14.460784313725489
14.950980392156861 15.441176470588234
15.931372549019606 16.421568627450981
16.911764705882351 17.401960784313726
17.892156862745097 18.382352941176471
18.872549019607842 19.362745098039216
19.852941176470587 20.343137254901961
20.833333333333332 21.323529411764707
21.813725490196077 22.303921568627452
22.794117647058822 23.284313725490197
23.774509803921568 24.264705882352942
24.754901960784313 25.245098039215687
25.735294117647058 26.225490196078432
26.715686274509803 27.205882352941178
27.696078431372548 28.186274509803923
28.676470588235293 29.166666666666668
29.656862745098039 30.147058823529413
30.637254901960784 31.127450980392158
31.617647058823529 32.107843137254896
32.598039215686271 33.088235294117645
33.578431372549012 34.068627450980387
34.558823529411761 35.049019607843135
35.539215686274503 36.029411764705877
36.519607843137251 37.009803921568626
37.499999999999993 37.990196078431367
38.480392156862742 38.970588235294116
39.460784313725483 39.950980392156858
40.441176470588232 40.931372549019606

41.421568627450974 41.911764705882348
42.401960784313722 42.892156862745097
43.382352941176464 43.872549019607838
44.362745098039213 44.852941176470587
45.343137254901954 45.833333333333329
46.323529411764703 46.813725490196077
47.303921568627445 47.794117647058819
48.284313725490193 48.774509803921561
49.264705882352935 49.754901960784309
50.245098039215684 50.735294117647051
51.225490196078425 51.7156862745098
52.205882352941174 52.696078431372541
53.186274509803916 53.67647058823529
54.166666666666664 54.656862745098032
55.147058823529406 55.63725490196078
56.127450980392155 56.617647058823522
57.107843137254896 57.598039215686271
58.088235294117645 58.578431372549012
59.068627450980387 59.558823529411761
60.049019607843135 60.539215686274503
61.029411764705877 61.519607843137251
62.009803921568626 62.499999999999993
62.990196078431367 63.480392156862742
63.970588235294109 64.460784313725497
64.950980392156865 65.441176470588232
65.931372549019613 66.421568627450981
66.911764705882348 67.401960784313729
67.892156862745097 68.382352941176478
68.872549019607845 69.362745098039213
69.852941176470594 70.343137254901961
70.833333333333329 71.32352941176471
71.813725490196077 72.303921568627459
72.794117647058826 73.284313725490193
73.774509803921575 74.264705882352942
74.754901960784309 75.245098039215691
75.735294117647058 76.225490196078439

76.715686274509807 77.205882352941174
77.696078431372555 78.186274509803923
78.67647058823529 79.166666666666671
79.656862745098039 80.147058823529406
80.637254901960787 81.127450980392155
81.617647058823536 82.107843137254903
82.598039215686271 83.088235294117652
83.578431372549019 84.068627450980387
84.558823529411768 85.049019607843135
85.539215686274517 86.029411764705884
86.519607843137251 87.009803921568633 87.5
87.990196078431367 88.480392156862749
88.970588235294116 89.460784313725497
89.950980392156865 90.441176470588232
90.931372549019613 91.421568627450981
91.911764705882348 92.401960784313729
92.892156862745097 93.382352941176478
93.872549019607845 94.362745098039213
94.852941176470594 95.343137254901961
95.833333333333329 96.32352941176471
96.813725490196077 97.303921568627445
97.794117647058826 98.284313725490193
98.774509803921575 99.264705882352942
99.754901960784309 12400 12500 12500
13400 18300 20400 21600 23900 25000
26200 26700 27000 27100 27800 28700
30100 30500 31800 32600 33200 34200
34500 36800 37600 37800 39200 39300
39600 40000 40200 40500 41200 41600
43100 43800 44000 44100 44800 45000
45300 45400 45500 45500 45900 46500
46600 47800 48300 49700 49900 51400
52000 52200 52500 52700 53700 54000
54200 54600 55200 55400 55400 55700
55800 55800 55900 56200 56900 57700
57800 57800 58800 58800 59000 59000

59200 59400 59500 60200 60300 60500
61400 61400 61700 62000 62900 63200
63500 64600 64800 64800 65000 65100
65200 65500 66000 66900 67000 67500
67900 68100 68200 68600 69400 69500
69800 70500 71400 71700 71800 72200
72700 73200 73300 73800 73900 74300
74300 74300 74400 74500 74800 75000
75300 75600 76000 76000 76100 76400
76800 76900 77400 78200 78400 78500
79300 80100 80100 80600 80700 80800
81300 81300 81900 82400 82700 83000
83700 84800 84900 85000 85600 86900
87000 87500 88200 88200 90200 91100
92700 93700 94100 94900 95200 95600
95800 96900 98900 100000 100200 100700
102600 102600 103100 103700 104500 105000
108600 109100 110200 110600 111200 111700
114500 114700 115400 117300 122700 123600
125100 125500 126700 127300 128200 131200
133100 134800 135700 136300 139900 140400
143500 160600 163900
Sample Percentile
Annual Salary (USD)
Multiple RegressionGenderEducationAnnual Salary
(USD)1457700SUMMARY
OUTPUT06764000444000Regression Statistics1441600Multiple
R0.5608163900R Square0.321472700Adjusted R
Square0.311660300Standard
Error25089.010463500Observations204.00161312000439200AN
OVA0662900dfSSMSFSignificance
F1026200Regression2.0059267702537.9729633851268.9947.08
0.000474500Residual201.00126521144913.01629458432.40166
4800Total203.00185788847450.9810216000681900Coefficients
Standard Errort StatP-valueLower 95%Upper 95%Lower
95.0%Upper

95.0%14115400Intercept36436.645433.086.710.0025723.49471
49.7925723.4947149.790457800Gender-10377.913573.77-
2.900.00-17424.80-3331.02-17424.80-
3331.021455800Education9522.711057.439.010.007437.641160
7.797437.6411607.79147610018135700041404000455400PROB
ABILITY OUTPUT144970006134800PercentileAnnual Salary
(USD)14769000.24509803921240002287000.735294117612500
04588001.22549019611250014431001.71568627451340006824
002.20588235291830014801002.69607843142040010270003.18
627450982160016588003.676470588223900041331004.166666
66672500006537004.65686274512620012267005.14705882352
670004813005.6372549022700014554006.12745098042710018
1399006.61764705882780002332007.107843137328700147500
07.598039215730100041282008.08823529413050014768008.57
843137253180016542009.0686274513260002326009.55882352
9433200065920010.049019607834200147480010.53921568633
4500044550011.029411764736800144650011.51960784313760
00613630012.009803921637800048690012.539200102390012.9
90196078439300165270013.480392156939600149270013.9705
88235340000145950014.460784313740200066940014.9509803
92240500164660015.441176470641200046170015.9313725494
1600048820016.421568627543100164500016.91176470594380
0105220017.401960784344000066140017.89215686274410014
8750018.3823529412448001410370018.8725490196450001454
00019.362745098453000412510019.8529411765454001245900
20.343137254945500067930020.8333333333455001610860021.
323529411845900166820021.813725490246500026520022.303
921568646600149560022.7941176471478001410310023.28431
37255483001414350023.774509803949700047820024.2647058
82449900144020024.754901960851400146050025.2450980392
52000144050025.735294117652200147380026.2254901961525
00144530026.715686274552700046140027.2058823529537001
66480027.696078431454000167560028.1862745098542000695
80028.6764705882546000812670029.166666666755200046700
029.6568627451554001410260030.14705882355540004520003
0.63725490255700147600031.127450980455800188300031.617

647058855800148080032.107843137355900169110032.598039
215756200003010033.088235294156900145570033.578431372
557700145140034.06862745157800044380034.5588235294578
00142500035.049019607858800028060035.5392156863588001
23960036.029411764759000021340036.5196078431590001488
20037.0098039216592000610910037.559400143420037.990196
078459500145780038.480392156960200046810038.970588235
360300069490039.460784313760500166320039.950980392261
400148270040.441176470661400068560040.931372549617001
22710041.421568627562000046980041.9117647059629000481
30042.401960784363200047840042.8921568627635000612730
043.382352941264600049370043.872549019664800067440044.
36274509864800044830044.852941176565000169890045.3431
37254965100047330045.8333333333652001611730046.323529
411865500103780046.813725490266000147740047.303921568
6669001811120047.794117647167000047530048.28431372556
7500049690048.7745098039679000612360049.2647058824681
00045520049.754901960868200101240050.2450980392686001
47390050.735294117669400149410051.2254901961695001474
30051.715686274569800146690052.2058823529705001212500
52.696078431471400069020053.186274509871700145900053.6
764705882718001611470054.166666666772200027170054.656
8627451727000012550055.1470588235732001410020055.6372
5490273300164540056.127450980473800047220056.61764705
8873900146950057.107843137374300046790057.59803921577
4300066750058.088235294174300143180058.57843137257440
0122780059.06862745174500166020059.558823529474800143
450060.049019607875000168700060.539215686375300121250
061.0294117647756000812270061.51960784317600014562006
2.009803921676000025690062.576100146600062.99019607847
6400047600063.480392156976800124410063.97058823537690
0047850064.460784313777400147180064.95098039227820016
8070065.441176470678400124780065.93137254978500041050
0066.4215686275793000610070066.9117647059801001018300
67.4019607843801000611060067.892156862780600043680068.
382352941280700164550068.872549019680800167140069.362

74509881300147430069.8529411765813000816060070.343137
254981900165250070.833333333382400046500071.323529411
8827000410450071.813725490283000148500072.30392156868
37001811020072.794117647184800048010073.2843137255849
00144000073.774509803985000145590074.2647058824856001
46460074.754901960886900166860075.2450980392870001465
10075.7352941176875001411170076.225490196188200146200
076.715686274588200045580077.205882352990200025460077.
696078431491100043760078.186274509892700144120078.676
470588293700164990079.166666666794100045940079.656862
745194900146550080.147058823595200167320080.637254902
95600143050081.127450980495800148480081.6176470588969
00149520082.107843137398900148490082.5980392157100000
1410260083.0882352941100200145900083.5784313725100700
044480084.068627451102600047050084.558823529410260006
8370085.04901960781031001410000085.539215686310370014
3930086.0294117647104500122040086.5196078431105000067
430087.00980392161086000411450087.510910087.9901960784
11020088.480392156911060088.970588235311120089.4607843
13711170089.950980392211450090.441176470611470090.9313
7254911540091.421568627511730091.911764705912270092.40
1960784312360092.892156862712510093.38235294121255009
3.872549019612670094.36274509812730094.852941176512820
095.343137254913120095.833333333313310096.323529411813
480096.813725490213570097.303921568613630097.794117647
113990098.284313725514040098.774509803914350099.264705
882416060099.7549019608163900
0.24509803921568626 0.73529411764705876
1.2254901960784312 1.7156862745098038
2.2058823529411762 2.6960784313725488
3.1862745098039214 3.6764705882352939
4.1666666666666661 4.6568627450980387
5.1470588235294112 5.6372549019607838
6.1274509803921564 6.617647058823529
7.1078431372549016 7.5980392156862742

8.0882352941176467 8.5784313725490176
9.0686274509803901 9.5588235294117627
10.049019607843135 10.539215686274508
11.02941176470588 11.519607843137253
12.009803921568626 12.499999999999998
12.99019607843 1371 13.480392156862743
13.970588235294116 14.460784313725489
14.950980392156861 15.441176470588234
15.931372549019606 16.421568627450981
16.911764705882351 17.401960784313726
17.892156862745097 18.382352941176471
18.872549019607842 19.362745098039216
19.852941176470587 20.343137254901961
20.833333333333332 21.323529411764707
21.813725490196077 22.303921568627452
22.794117647058822 23.284313725490197
23.774509803921568 24.264705882352942
24.754901960784313 25.245098039215687
25.735294117647058 26.225490196078432
26.715686274509803 27.205882352941178
27.696078431372548 28.186274509803923
28.676470588235293 29.166666666666668
29.656862745098039 30.147058823529413
30.637254901960784 31.127450980392158
31.617647058823529 32.107843137254896
32.598039215686271 33.088235294117645
33.578431372549012 34.068627450980387
34.558823529411761 35.049019607843135
35.539215686274503 36.029411764705877
36.519607843137251 37.009803921568626
37.499999999999993 37.990196078431367
38.480392156862742 38.970588235294116
39.460784313725483 39.950980392156858
40.441176470588232 40.931372549019606
41.421568627450974 41.911764705882348
42.401960784313722 42.892156862745097

43.382352941176464 43.872549019607838
44.362745098039213 44.852941176470587
45.343137254901954 45.833333333333329
46.323529411764703 46.813725490196077
47.303921568627445 47.794117647058819
48.284313725490193 48.774509803921561
49.264705882352935 49.754901960784309
50.245098039215684 50.735294117647051
51.225490196078425 51.7156862745098
52.205882352941174 52.696078431372541
53.186274509803916 53.67647058823529
54.166666666666664 54.656862745098032
55.147058823529406 55.63725490196078
56.127450980392155 56.617647058823522
57.107843137254896 57.598039215686271
58.088235294117645 58.578431372549012
59.068627450980387 59.558823529411761
60.049019607843135 60.539215686274503
61.029411764705877 61.519607843137251
62.009803921568626 62.499999999999993
62.990196078431367 63.480392156862742
63.970588235294109 64.460784313725497
64.950980392156865 65.441176470588232
65.931372549019613 66.421568627450981
66.911764705882348 67.401960784313729
67.892156862745097 68.382352941176478
68.872549019607845 69.362745098039213
69.852941176470594 70.343137254901961
70.833333333333329 71.32352941176471
71.813725490196077 72.303921568627459
72.794117647058826 73.284313725490193
73.774509803921575 74.264705882352942
74.754901960784309 75.245098039215691
75.735294117647058 76.225490196078439
76.715686274509807 77.205882352941174
77.696078431372555 78.186274509803923

78.67647058823529 79.166666666666671
79.656862745098039 80.147058823529406
80.637254901960787 81.127450980392155
81.617647058823536 82.107843137254903
82.598039215686271 83.088235294117652
83.578431372549019 84.068627450980387
84.558823529411768 85.049019607843135
85.539215686274517 86.029411764705884
86.519607843137251 87.009803921568633 87.5
87.990196078431367 88.480392156862749
88.970588235294116 89.460784313725497
89.950980392156865 90.441176470588232
90.931372549019613 91.421568627450981
91.911764705882348 92.401960784313729
92.892156862745097 93.382352941176478
93.872549019607845 94.362745098039213
94.852941176470594 95.343137254901961
95.833333333333329 96.32352941176471
96.813725490196077 97.303921568627445
97.794117647058826 98.284313725490193
98.774509803921575 99.264705882352942
99.754901960784309 12400 12500 12500
13400 18300 20400 21600 23900 25000
26200 26700 27000 27100 27800 28700
30100 30500 31800 32600 33200 34200
34500 36800 37600 37800 39200 39300
39600 40000 40200 40500 41200 41600
43100 43800 44000 44100 44800 45000
45300 45400 45500 45500 45900 46500
46600 47800 48300 49700 49900 51400
52000 52200 52500 52700 53700 54000
54200 54600 55200 55400 55400 55700
55800 55800 55900 56200 56900 57700
57800 57800 58800 58800 59000 59000
59200 59400 59500 60200 60300 60500
61400 61400 61700 62000 62900 63200

63500 64600 64800 64800 65000 65100
65200 65500 66000 66900 67000 67500
67900 68100 68200 68600 69400 69500
69800 70500 71400 71700 71800 72200
72700 73200 73300 73800 73900 74300
74300 74300 74400 74500 74800 75000
75300 75600 76000 76000 76100 76400
76800 76900 77400 78200 78400 78500
79300 80100 80100 80600 80700 80800
81300 81300 81900 82400 82700 83000
83700 84800 84900 85000 85600 86900
87000 87500 88200 88200 90200 91100
92700 93700 94100 94900 95200 95600
95800 96900 98900 100000 100200 100700
102600 102600 103100 103700 104500 105000
108600 109100 110200 110600 111200 111700
114500 114700 115400 117300 122700 123600
125100 125500 126700 127300 128200 131200
133100 134800 135700 136300 139900 140400
143500 160600 163900
Sample Percentile
Annual Salary (USD)
MGT 4543
MANAGEMET ANALYTICS
INVESTIGATING IMPACT OF EDUCATION ON SALARY
MARGIN TO RESOLVE ISSUES OF MANAGERIAL
DECISION MAKING

Name: Darshit Patel
Student ID: M00692002
Table of Contents
Introduction 3
Descriptive Analysis 3
Regression Analytics 10
Managerial Interpretations and Implications 16
Conclusion 17
Reference List 18
Introduction
Attempt to estimate impact of education on wage demands
attention on other important factors including experience of
employees. In this matter, though education holds significant
impact in directing salary margin of employees, gender and
level of experience are also crucial to influence wage
discrimination (Jara, 2015). Inequality in education level
signifies inability of an employee to possess enough skill and
knowledge to perform a task. Apart from this, lack of traditional
level of experience is also liable to affect scope of
employability and can also fail to utilise potential of a worker
(Cochrane, Pacheco and Li, 2017). Regarding managerial
decision making, education has been considered as a major
factor that contributes to determine salary scale of employees.
This report aims to explore managerial decision in a fictional
company Beta Technologies through evaluating data obtained

from 204 employees of this company. Hence, the research
question can be formulated as-
Does education significantly impacts salary margin of
employees?Descriptive Analysis
As this study has focused on investigating impact of education
in determining salary scale or influencing wage discrimination
in selected company Beta Technology, this section is based on
presenting frequency tables of identified variables in following
manner-
Employee
Mean
102.50
Standard Error
4.13
Median
102.50
Mode
#N/A
Standard Deviation
59.03
Sample Variance
3485.00
Kurtosis
-1.20
Skewness
0.00
Range
203.00
Minimum
1.00
Maximum
204.00
Sum
20910.00
Count
204.00

Table 1: Descriptive Table on Number of Employees
Figure 1: Number of Employees
Gender
Mean
0.58
Standard Error
0.03
Median
1.00
Mode
1.00
Standard Deviation
0.49
Sample Variance
0.24
Kurtosis
-1.90
Skewness
-0.34
Range
1.00
Minimum
0.00
Maximum
1.00
Sum
119.00
Count
204.00
Table 2: Descriptive Table on Gender of Employees
Figure 2: Gender

Age
Mean
39.57
Standard Error
0.77
Median
39.00
Mode
33.00
Standard Deviation
10.95
Sample Variance
119.84
Kurtosis
-0.78
Skewness
0.20
Range
47.00
Minimum
18.00
Maximum
65.00
Sum
8072.00
Count
204.00
Table 3: Age of Employees
Figure 3: Age of Employees
Prior Experience
Mean
6.27
Standard Error
0.35

Median
5.00
Mode
0.00
Standard Deviation
5.01
Sample Variance
25.06
Kurtosis
-0.11
Skewness
0.57
Range
20.00
Minimum
0.00
Maximum
20.00
Sum
1279.00
Count
204.00
Table 4: Frequency Table of Prior Experience of Employees
Figure 4: Prior Experience of Employees
Beta Experience
Mean
8.80
Standard Error
0.43
Median
7.00
Mode
1.00
Standard Deviation

6.21
Sample Variance
38.55
Kurtosis
-0.75
Skewness
0.54
Range
24.00
Minimum
1.00
Maximum
25.00
Sum
1795.00
Count
204.00
Table 5: Frequency Table on Beta Experience of Employees
Figure 5: Beta Experience of Employees
Education
Mean
4.29
Standard Error
0.12
Median
4.00
Mode
4.00
Standard Deviation
1.67
Sample Variance
2.79
Kurtosis
0.90

Skewness
-0.33
Range
8.00
Minimum
0.00
Maximum
8.00
Sum
876.00
Count
204.00
Table 6: Frequency Table on Education Level of Employees
Figure 6: Education Level of Employees
Annual Salary (USD)
Mean
71274.51
Standard Error
2118.10
Median
68400.00
Mode
74300.00
Standard Deviation
30252.54
Sample Variance
915215997.30
Kurtosis
0.16
Skewness
0.54
Range
151500.00
Minimum

12400.00
Maximum
163900.00
Sum
14540000.00
Count
204.00
Table 7: Frequency Table on Annual Salary of Participants in
USD
Figure 7: Annual Salary of Employees in USD
Regression Analytics
In order to evaluate managerial decision making issues in Beta
Technologies in regards with evaluating impact of education on
salary scale or wage discrimination, regression analysis has
been performed in this section.
Regression Statistics
Multiple R
0.54
R Square
0.29
Adjusted R Square
0.29
Standard Error
25546.42
Observations
204.00
Table 8: Model Summary of Regression Model on Education
and Annual Summary
The regression table shows values of R and R2 to be
respectively 0.54 and 0.29. In this case, value of R being 0.54
that is greater than 0.05 (0.54>0.05) signifies that there is
medium degree of correlation between the dependent variable
(Annual salary) and independent variable (education). In

addition, R2 denotes how much variation in dependent variable
can be explained or regressed by independent variable and
hence, value of R2 being 0.29 indicates that only 29% data can
be explained by which is a small number.
ANOVA
df
SS
MS
F
Significance F
Regression
1.00
53959664674.36
53959664674.36
82.68
0.00
Residual
202.00
131829182776.62
652619716.72
Total
203.00
185788847450.98
Table 9: ANOVA Table of Education and Annual Summary
Analysis of above-presented ANOVA table indicates that value
located in ‘Significance F’ column of ‘Regression’ row is 0.00
which is less than 0.05 (0.00<0.05). Hence, it can be interpreted
that the regression model fits the data and can predict outcome

variable which makes it statistically significant.
Coefficients
Standard Error
t Stat
P-value
Intercept
29359.94
4944.42
5.94
0.00
Education
9760.93
1073.46
9.09
0.00
Table 10: Coefficient Analysis of Education and Annual
Summary
As education level has been selected as the independent variable
and annual salary as dependent variable to measure impact of
education in wage discrimination in Beta Technology, p value
of Annual Salary (USD) is 0.00. Now, this being less than 0.05
(0.00<0.05) signifies that there is statistically significant
relationship between the identified variables. Hence, the
regression equation can be explained as-
Annual Salary (USD) = 29359.94 + 9760.93 [Education]
This regression equation indicates that level of education holds
statistically significant impact in controlling salary margin in
above-mentioned company. Moreover, it can also be interpreted
that increase in education level is likely to ensure hike in salary
margin that readily promotes discrimination in wages.
Figure 8: Normal Probability Plot of Regression Model on

Education and Annual Salary
Apart from this, the non-probability plot presented above also
signifies that possessing lower level of education is likely to
reflect in salary scale of employees while higher level of
education promotes salary margin. Hence, this can be counted
as a major factor irrespective of gender and experience to
control salary scale.
Multiple R
0.210326
R Square
0.044237
Adjusted R Square
0.039505
Standard Error
29648.95
Observations
204
Table 11: Model Summary of Regression Model on Gender and
Annual Summary
The values of R and R2 are respectively 0.21 and 0.04. Now,
value of R being 0.21 (0.21>0.05) indicates that there is high
degree of positive correlation or there is highly positive
correlation between the dependent variable (Annual salary) and
independent variable (gender). Moreover, R2 being 0.04 shows
that only 4% data can be explained which is a very small
number. Hence, it can be interpreted that very small amount of
variation in dependent variable can be explained by independent
variable.
ANOVA
df

SS
MS
F
Significance F
Regression
1.00
8218729434.17
8218729434.17
9.35
0.00
Residual
202.00
177570118016.81
879059990.18
Total
203.00
185788847450.98
Table 12: ANOVA Table of Gender and Annual Summary
The ANOVA table shows that value located in ‘Significance F’
column of ‘Regression’ row is 0.00 that is less than 0.05
(0.00<0.05). Thus, the regression model can predict the
outcome variable and it is statistically significant and fits the
data.
Coefficients
Standard Error
t Stat
P-value
Intercept

78784.71
3215.88
24.50
0.00
Gender
-12874.62
4210.57
-3.06
0.00
Table 13: Coefficient Analysis of Gender and Annual Summary
In this particular regression model gender has been identified as
the independent variable and annual salary is dependent
variable. Hence, p value of Gender being 0.00 (0.00<0.05)
implies that there is statistically significant relationship
between the dependent and independent variables. Now, the
regression equation can be developed as-
Annual Salary (USD) = 78784.71+ -12874.62 [Gender]
The regression equation shows that gender statistically
significant impacts on annual salary in Beta Technology. Hence,
reflection of gender differentiation on salary margin also
indicates towards managerial issues in decision making.
Figure 9: Normal Probability Plot of Regression Model on
Gender and Annual Salary
Multiple Regressions
Multiple R
0.56
R Square
0.32
Adjusted R Square
0.31
Standard Error

25089.01
Observations
204.00
Table 14: Model Summary of Multiple Regression Model
The values of R and R2 are respectively 0.56 sand 0.32. This R
value being greater than 0.05 shows that there is high degree of
positive correlation or there is highly positive correlation
between the dependent variable (Annual salary) and
independent variables (gender and education). Moreover, R2
being 0.32 shows that 32% data can be explained.
ANOVA
df
SS
MS
F
Significance F
Regression
2.00
59267702537.97
29633851268.99
47.08
0.00
Residual
201.00
126521144913.01
629458432.40
Total
203.00
185788847450.98

Table 15: ANOVA Table of Multiple Regressions
The ANOVA table shows that value located in ‘Significance F’
column of ‘Regression’ row is 0.00 that is less than 0.05
(0.00<0.05). Hence, the regression model fits the data and its is
statistically significant.
Coefficients
Standard Error
t Stat
P-value
Intercept
36436.64
5433.08
6.71
0.00
Gender
-10377.91
3573.77
-2.90
0.00
Education
9522.71
1057.43
9.01
0.00
Table 16: Coefficient Analysis of Multiple Regressions
In this particular regression model gender has been identified as
the independent variable and annual salary is dependent
variable. Hence, p value located in both gender and education
row is 0.00 which is less than 0.05 (0.00<0.05). This signifies
that that there is statistically significant relationship between
the dependent and independent variables. The multiple
regression equation would be-

Annual Salary (USD) = 36436.64 + -10377.91 [Gender] +
9522.71 [Education]
Hence, the multiple regression equation implies that both
gender and education holds statistically significant impacts on
annual salary in Beta Technology.
Figure 10: Normal Probability Plot of Multiple Regression
ModelManagerial Interpretations and Implications
Attempt to estimate impact of education on wage demands
attention on other important factors including experience of
employees. In this matter, though education holds significant
impact in directing salary margin of employees, gender and
level of experience are also crucial to influence wage
discrimination (Jara, 2015). Inequality in education level
signifies inability of an employee to possess enough skill and
knowledge to perform a task. Apart from this, lack of traditional
level of experience is also liable to affect scope of
employability and can also fail to utilise potential of a worker
(Cochrane, Pacheco and Li, 2017). Furthermore, assessment of
impact of other factors such as gender and field experience is
also essential to determine salary scale. For instance,
knowledge and experience on Beta has been advantageous for
employees to secure higher margin of salary while lack of this
has led to low pay scale.
As the productive labour market of UK is liable to deliver
opportunity for both experienced and apprentices to test
knowledge and skills, discrimination in wage has been a major
issue for business entities including Beta Technology to provide
equal chances (Takeuchi et al. 2017). This has also promoted
centralised economy while hinting toward issues of managerial
decision making. Extensive research on impact of education on
salary scale has presented that in a number of cases, employees
having high potential and field experience are liable to receive
low salary due to lack of educational qualification (Castellano,
Musella and Punzo, 2019). This signifies lack of efficacy in HR

practices and weak management and employment structure. In
this context, focus on earning mobility and improving
employment and wage structure is an essential concern for
business entities (Lee, Green and Sissons, 2018).
In case of evaluating impact of education, it is also necessary to
focus on gender discrimination that has been repeatedly
reported to signify management decision making issues (Silva et
al. 2018). Assessment of obtained data of 204 employees of
Beta Technology presents that male employees of this
companies are getting higher salaries than women despite of
having similar level of education. In this regard, it is important
to mention that apart from education, gender has played
significant role in affecting HR practices and management
decisions (Fidrmuc and Tena, 2018).
Hence, it can easily be interpreted that lack of focus on
strengthening management structure and salary scale to reduce
instances of discrimination. Beban and Trueman (2018) have
pointed that availability of facility for students to work while
pursuing educational courses has directed a great number of
students to work as professionals in business corporations. In
such cases, discrimination in salary scale on grounds of
education level has often traced to indicate towards issues of
managerial decisions. Hence, focus on reducing this wage
discrimination and considering all factors including experience
and practical knowledge of employees would be effective to
resolve these issues and ensure holistic growth of
business.Conclusion
The findings of this report are premised on exploring impact of
education on controlling wage discrimination. Concrete
evaluation of this report presents that education has been a
major factor in determining potential of workers.
Training and Education Programmes – Attempt to incorporate
training and educational programmes through improving
performance of Human Resource Management (HRM)
department would be effective for Beta Technologies to reduce
chances of discrimination in salary margin. It would also help to

enhance potential of employees through improving level of
productivity (Rienzo, 2017). Besides, adoption of improved HR
practices can also ensure equal distribution of workload and
would support to limit wage discrimination (Sarkar, 2017).
Following Legislative Instruction – Apart from developing
effective HR practices, focus on compliance with legislative
instructions would be effective for aforementioned company to
reduce discrimination in wages. Focus on following guidelines
of National Minimum Wage Act 1998 would be beneficial for
this company to deliver equal opportunity to apprentices and
skilled employees to utilise their potential (Legislation.gov.uk,
1998). Reference List
Journals
Beban, A. and Trueman, N., 2018. Student workers: The
unequal load of paid and unpaid work in the neoliberal
university. New Zealand Sociology, 33(2), pp. 99-131.
Castellano, R., Musella, G. and Punzo, G., 2019. Exploring
changes in the employment structure and wage inequality in
Western Europe using the unconditional quantile
regression. Empirica, 46(2), pp. 249-304.
Cochrane, B., Pacheco, G. and Li, C., 2017. Temporary-
Permanent Wage Gap: Does Type of Work and Location in
Distribution Matter? Australian Journal of Labour
Economics, 20(2), pp. 125-147.
Fidrmuc, J. and Tena, J.D., 2018. UK national minimum wage
and labor market outcomes of young
workers. Economics, 12(5), pp. 1-28,28A.
Jara, H.X., 2015. The Effect of Job Insecurity on Labour
Supply. Australian Journal of Labour Economics, 18(2), pp.
187-204.
Lee, N., Green, A. and Sissons, P., 2018. Low-pay sectors,
earnings mobility and economic policy in the UK. Policy and
Politics, 46(3), pp. 347-369.
Rienzo, C., 2017. Real wages, wage inequality and the regional
cost-of-living in the UK. Empirical Economics, 52(4), pp. 1309-
1335.

Sarkar, S., 2017. Employment polarization and over-education
in Germany, Spain, Sweden and UK. Empirica, 44(3), pp. 435-
463.
Silva, F., Vieira, J., Pimenta, A. and Teixeira, J., 2018.
Duration of low-wage employment: a study based on a survival
model. International Journal of Social Economics, 45(2), pp.
286-299.
Takeuchi, D.T., Dearing, T.C., Bartholomew, M.W. and Mcroy,
R.G., 2018. Equality and Equity: Expanding Opportunities to
Remedy Disadvantage. Generations, 42(2), pp. 13-19.
Website
Legislation.gov.uk, 1998. National Minimum Wage Act 1998.
Viewed on 16/04/2019
<http://www.legislation.gov.uk/ukpga/1998/39/contents>
Prior Experience
5 12 0 2 5 9 6 11 12 0 5 0 11
5 5 4 10 3 10 11 10 16 0 4 11
20 2 2 0 4 6 0 5 9 1 0 5
3 12 3 11 10 8 1 0 6 7 0 8
13 7 0 5 12 6 6 3 3 11 0 10
5 5 7 5 11 5 10 20 0 0 12 16
20 11 3 8 0 10 4 9 4 11 1 11
10 16 4 9 0 8 10 3 5 0 3 0
10 8 0 6 9 3 4 6 6 5 6 7
2 10 13 11 20 0 5 3 10 0 11 5
6 11 11 7 10 6 0 4 20 10 11 0
0 5 10 7 20 11 0 10 5 11 2 2
0 5 2 7 0 0 5 10 4 11 0 0
5 9 2 13 6 2 12 0 0 0 5 16
0 5 12 5 3 10 3 10 0 0 7 13
12 2 5 1 0 0 4 3 10 0 6 16
11 11 11 0 11 10 10 2 0 0 11
Beta Experience
12 8 2 1 25 10 2 6 16 1 4 8 9

5 4 15 17 6 1 8 15 20 5 1 16
2 12 7 1 13 15 6 5 22 1 1 16
7 14 3 7 21 13 2 5 6 12 3 5
13 18 1 1 13 7 3 1 8 9 4 5
1 19 23 6 23 11 2 5 13 21 14 12
23 5 3 5 7 8 4 1 7 3 19 4
2 12 3 10 3 13 10 1 7 11 1 1
15 5 1 18 15 1 9 7 13 5 16 8
7 3 4 5 9 24 6 3 13 16 19 5
14 1 4 17 19 2 1 15 4 8 4 4
18 8 19 15 18 17 4 4 12 1 7 1
10 4 2 12 4 15 7 6 12 4 16 18
13 7 15 13 15 1 12 2 4 14 14 11
7 7 14 18 10 7 3 1 16 13 8 19
1 7 11 1 7 6 6 13 3 3 17 9
11 18 1 5 2 4 18 4 7 12 19
Education Level
4 6 4 4 8 4 6 4 6 4 6 0 4
6 0 6 4 4 4 4 8 4 4 4 6
4 2 4 4 6 4 0 6 4 6 2 4
4 8 2 4 4 4 6 2 6 4 4 4
6 4 0 6 4 4 6 6 4 4 6 0
6 4 4 4 4 2 6 6 6 2 4 4
4 4 4 4 4 4 4 4 6 6 6 8
4 4 4 4 8 4 6 0 4 4 4 4
2 2 2 4 6 4 4 4 6 6 4 6
2 4 4 4 6 4 6 4 6 4 6 0
4 8 4 4 6 4 0 4 4 4 4 2
6 4 6 2 0 4 6 4 4 4 6 4
2 6 4 6 2 8 4 2 4 4 2 4
4 6 2 4 6 0 6 4 6 6 4 8
6 4 4 4 8 4 4 4 4 6 4 4
4 4 2 4 4 6 4 4 6 4 4 4
4 4 4 4 4 6 4 4 2 6 4
Annual Salary
57700 76400 44000 41600 163900 72700

60300 63500 131200 39200 62900 26200
74500 64800 21600 81900 115400 57800
55800 76100 135700 140400 55 400 49700
134800 76900 28700 58800 43100 82400
80100 27000 58800 133100 53700 26700
81300 55400 139900 33200 75000 128200
76800 54200 32600 59200 74800 45500
46500 136300 86900 23900 52700 92700
59500 69400 46600 61700 88200 45000
52200 61400 87500 103700 54000 125100
45900 79300 108600 68200 65200 95600
103100 143500 78200 40200 60500 40500
73800 45300 61400 64800 75600 95800
126700 67000 102600 52000 76000 83000
80800 91100 30100 55700 51400 43800
25000 80600 39600 13400 88200 109100
34200 57800 68100 94900 63200 82700
85600 27100 69800 81300 78400 127300
93700 74400 48300 98900 73300 117300
37800 77400 111200 75300 96900 123600
55200 12400 73900 94100 74300 66900
12500 90200 59000 114700 71700 125500
100200 45400 72200 69500 67900 67500
31800 27800 60200 34500 87000 12500
122700 56200 56900 66000 76000 44100
78500 71800 80700 47800 105000 100700
18300 110600 36800 45500 71400 74300
160600 52500 65000 104500 85000 110200
80100 40000 55900 64600 68600 65100
111700 62000 55800 54600 37600 41200
49900 59400 65500 73200 30500 84800
95200 84900 102600 59000 44800 70500
83700 100000 39300 20400 74300 114500
0.24509803921568626 0.73529411764705888

1.225490196078431 1.7156862745098038
2.2058823529411766 2.6960784313725483
3.1862745098039214 3.6764705882352939
4.1666666666666661 4.6568627450980395
5.1470588235294095 5.6372549019607829
6.1274509803921555 6.617647058823529
7.1078431372549016 7.5980392156862742
8.0882352941176467 8.5784313725490193
9.0686274509803901 9.5588235294117609
10.049019607843135 10.539215686274506
11.029411764705879 11.519607843137255
12.009803921568626 12.500000000000002
12.990196078431373 13.480392156862745
13.970588235294118 14.460784313725492
14.950980392156863 15.441176470588234
15.931372549019605 16.421568627450984
16.911764705882351 17.401960784313729
17.892156862745093 18.382352941176467
18.872549019607838 19.362745098039213
19.852941176470591 20.343137254901954
20.833333333333325 21.323529411764703
21.813725490196081 22.303921568627455
22.794117647058826 23.284313725490197
23.774509803921561 24.264705882352938
24.754901960784316 25.245098039215687
25.735294117647058 26.225490196078432
26.715686274509796 27.205882352941174
27.696078431372548 28.186274509803923
28.67647058823529 29.166666666666668
29.656862745098046 30.147058823529417
30.637254901960787 31.127450980392158
31.617647058823533 32.107843137254896
32.598039215686271 33.088235294117652
33.578431372549012 34.068627450980379
34.558823529411754 35.049019607843128
35.539215686274503 36.029411764705884

36.519607843137244 37.009803921568626 37.5
37.990196078431367 38.480392156862742
38.970588235294109 39.460784313725476
39.950980392156858 40.441176470588225
40.931372549019606 41.421568627450981
41.911764705882334 42.401960784313715
42.892156862745104 43.382352941176471
43.872549019607831 44.362745098039213
44.85294117647058 45.343137254901961
45.833333333333329 46.323529411764696
46.81372549019607 47.303921568627437 47.794
117647058826 48.284313725490193
48.774509803921561 49.264705882352942
49.754901960784302 50.245098039215684
50.735294117647044 51.225490196078439
51.715686274509807 52.205882352941181
52.696078431372541 53.186274509803908
53.67647058823529 54.16666666666665
54.656862745098024 55.147058823529413
55.63725490196078 56.127450980392155
56.617647058823508 57.107843137254896
57.598039215686271 58.088235294117652
58.578431372549012 59.068627450980379
59.558823529411754 60.049019607843128
60.539215686274503 61.029411764705884
61.519607843137244 62.009803921568626 62.5
62.990196078431367 63.480392156862742
63.970588235294102 64.460784313725469
64.950980392156836 65.441176470588232
65.931372549019613 66.421568627450981
66.911764705882376 67.401960784313758
67.892156862745082 68.382352941176478
68.872549019607831 69.362745098039198
69.852941176470551 70.343137254901947
70.833333333333314 71.32352941176471
71.813725490196077 72.303921568627473

72.794117647058826 73.284313725490193
73.774509803921561 74.264705882352942
74.754901960784309 75.245098039215691
75.735294117647072 76.225490196078425
76.715686274509792 77.205882352941146
77.696078431372555 78.186274509803908
78.676470588235276 79.166666666666671
79.656862745098039 80.147058823529377
80.637254901960802 81.127450980392169
81.617647058823522 82.107843137254875
82.598039215686256 83.088235294117666
83.578431372548991 84.068627450980387
84.558823529411768 85.04901960784315
85.539215686274531 86.029411764705884
86.519607843137 265 87.009803921568633 87.5
87.990196078431353 88.480392156862735
88.970588235294102 89.460784313725469
89.950980392156836 90.441176470588232
90.931372549019613 91.421568627450981
91.911764705882376 92.401960784313758
92.892156862745082 93.382352941176478
93.872549019607831 94.362745098039198
94.852941176470551 95.343137254901947
95.833333333333314 96.32352941176471
96.813725490196077 97.303921568627445
97.794117647058826 98.284313725490193
98.774509803921561 99.264705882352942
99.754901960784309 12400 12500 12500
13400 18300 20400 21600 23900 25000
26200 26700 27000 27100 27800 28700
30100 30500 31800 32600 33200 34200
34500 36800 37600 37800 39200 39300
39600 40000 40200 40500 41200 41600
43100 43800 44000 44100 44800 45000
45300 45400 45500 45500 45900 46500
46600 47800 48300 49700 49900 51400

52000 52200 52500 52700 53700 54000
54200 54600 55200 55400 55400 55700
55800 55800 55900 56200 56900 57700
57800 57800 58800 58800 59000 59000
59200 59400 59500 60200 60300 60500
61400 61400 61700 62000 62900 63200
63500 64600 64800 64800 65000 65100
65200 65500 66000 66900 67000 67500
67900 68100 68200 68600 69400 69500
69800 70500 71400 71700 71800 72200
72700 73200 73300 73800 73900 74300
74300 74300 74400 74500 74800 75000
75300 75600 76000 76000 76100 76400
76800 76900 77400 78200 78400 78500
79300 80100 80100 80600 80700 80800
81300 81300 81900 82400 82700 83000
83700 84800 84900 85000 85600 86900
87000 87500 88200 88200 90200 91100
92700 93700 94100 94900 95200 95600
95800 96900 98900 100000 100200 100700
102600 102600 103100 103700 104500 105000
108600 109100 110200 110600 111200 111700
114500 114700 115400 117300 122700 123600
125100 125500 126700 127300 128200 131200
133100 134800 135700 136300 139900 140400
143500 160600 163900
Sample Percentile
Annual Salary (USD)
0.24509803921568626 0.73529411764705888
1.225490196078431 1.7156862745098038
2.2058823529411766 2.6960784313725483
3.1862745098039214 3.6764705882352939
4.1666666666666661 4.6568627450980395
5.1470588235294095 5.6372549019607829
6.1274509803921555 6.617647058823529

7.1078431372549016 7.5980392156862742
8.0882352941176467 8.5784313725490193
9.0686274509803901 9.5588235294117609
10.049019607843135 10.539215686274506
11.029411764705879 11.519607843137255
12.009803921568626 12.500000000000002
12.990196078431373 13.480392156862745
13.970588235294118 14.460784313725492
14.950980392156863 15.441176470588234
15.931372549019605 16.421568627450984
16.911764705882351 17.401960784313729
17.892156862745093 18.382352941176467
18.872549019607838 19.362745098039213
19.852941176470591 20.343137254901954
20.833333333333325 21.323529411764703
21.813725490196081 22.303921568627455
22.794117647058826 23.284313725490197
23.774509803921561 24.264705882352938
24.754901960784316 25.245098039215687
25.735294117647058 26.225490196078432
26.715686274509796 27.205882352941174
27.696078431372548 28.186274509803923
28.67647058823529 29.166666666666668
29.656862745098046 30.147058823529417
30.637254901960787 31.127450980392158
31.617647058823533 32.107843137254896
32.598039215686271 33.088235294117652
33.578431372549012 34.068627450980379
34.558823529411754 35.049019607843128
35.539215686274503 36.029411764705884
36.519607843137244 37.009803921568626 37.5
37.990196078431367 38.480392156862742
38.970588235294109 39.460784313725476
39.950980392156858 40.441176470588225
40.931372549019606 41.421568627450981
41.911764705882334 42.401960784313715

42.892156862745104 43.382352941176471
43.872549019607831 44.362745098039213
44.85294117647058 45.343137254901961
45.833333333333329 46.323529411764696
46.81372549019607 47.303921568627437 47.794
117647058826 48.284313725490193
48.774509803921561 49.264705882352942
49.754901960784302 50.245098039215684
50.735294117647044 51.225490196078439
51.715686274509807 52.205882352941181
52.696078431372541 53.186274509803908
53.67647058823529 54.16666666666665
54.656862745098024 55.147058823529413
55.63725490196078 56.127450980392155
56.617647058823508 57.107843137254896
57.598039215686271 58.088235294117652
58.578431372549012 59.068627450980379
59.558823529411754 60.049019607843128
60.539215686274503 61.029411764705884
61.519607843137244 62.009803921568626 62.5
62.990196078431367 63.480392156862742
63.970588235294102 64.460784313725469
64.950980392156836 65.441176470588232
65.931372549019613 66.421568627450981
66.911764705882376 67.401960784313758
67.892156862745082 68.382352941176478
68.872549019607831 69.362745098039198
69.852941176470551 70.343137254901947
70.833333333333314 71.32352941176471
71.813725490196077 72.303921568627473
72.794117647058826 73.284313725490193
73.774509803921561 74.264705882352942
74.754901960784309 75.245098039215691
75.735294117647072 76.225490196078425
76.715686274509792 77.205882352941146
77.696078431372555 78.186274509803908

78.676470588235276 79.166666666666671
79.656862745098039 80.147058823529377
80.637254901960802 81.127450980392169
81.617647058823522 82.107843137254875
82.598039215686256 83.088235294117666
83.578431372548991 84.068627450980387
84.558823529411768 85.04901960784315
85.539215686274531 86.029411764705884
86.519607843137 265 87.009803921568633 87.5
87.990196078431353 88.480392156862735
88.970588235294102 89.460784313725469
89.950980392156836 90.441176470588232
90.931372549019613 91.421568627450981
91.911764705882376 92.401960784313758
92.892156862745082 93.382352941176478
93.872549019607831 94.362745098039198
94.852941176470551 95.343137254901947
95.833333333333314 96.32352941176471
96.813725490196077 97.303921568627445
97.794117647058826 98.284313725490193
98.774509803921561 99.264705882352942
99.754901960784309 12400 12500 12500
13400 18300 20400 21600 23900 25000
26200 26700 27000 27100 27800 28700
30100 30500 31800 32600 33200 34200
34500 36800 37600 37800 39200 39300
39600 40000 40200 40500 41200 41600
43100 43800 44000 44100 44800 45000
45300 45400 45500 45500 45900 46500
46600 47800 48300 49700 49900 51400
52000 52200 52500 52700 53700 54000
54200 54600 55200 55400 55400 55700
55800 55800 55900 56200 56900 57700
57800 57800 58800 58800 59000 59000
59200 59400 59500 60200 60300 60500
61400 61400 61700 62000 62900 63200

63500 64600 64800 64800 65000 65100
65200 65500 66000 66900 67000 67500
67900 68100 68200 68600 69400 69500
69800 70500 71400 71700 71800 72200
72700 73200 73300 73800 73900 74300
74300 74300 74400 74500 74800 75000
75300 75600 76000 76000 76100 76400
76800 76900 77400 78200 78400 78500
79300 80100 80100 80600 80700 80800
81300 81300 81900 82400 82700 83000
83700 84800 84900 85000 85600 86900
87000 87500 88200 88200 90200 91100
92700 93700 94100 94900 95200 95600
95800 96900 98900 100000 100200 100700
102600 102600 103100 103700 104500 105000
108600 109100 110200 110600 111200 111700
114500 114700 115400 117300 122700 123600
125100 125500 126700 127300 128200 131200
133100 134800 135700 136300 139900 140400
143500 160600 163900
Sample Percentile
Annual Salary (USD)
0.24509803921568626 0.73529411764705888
1.225490196078431 1.7156862745098038
2.2058823529411766 2.6960784313725483
3.1862745098039214 3.6764705882352939
4.1666666666666661 4.6568627450980395
5.1470588235294095 5.6372549019607829
6.1274509803921555 6.617647058823529
7.1078431372549016 7.5980392156862742
8.0882352941176467 8.5784313725490193
9.0686274509803901 9.5588235294117609
10.049019607843135 10.539215686274506
11.029411764705879 11.519607843137255
12.009803921568626 12.500000000000002

12.990196078431373 13.480392156862745
13.970588235294118 14.460784313725492
14.950980392156863 15.441176470588234
15.931372549019605 16.421568627450984
16.911764705882351 17.401960784313729
17.892156862745093 18.382352941176467
18.872549019607838 19.362745098039213
19.852941176470591 20.343137254901954
20.833333333333325 21.323529411764703
21.813725490196081 22.303921568627455
22.794117647058826 23.284313725490197
23.774509803921561 24.264705882352938
24.754901960784316 25.245098039215687
25.735294117647058 26.225490196078432
26.715686274509796 27.205882352941174
27.696078431372548 28.186274509803923
28.67647058823529 29.166666666666668
29.656862745098046 30.147058823529417
30.637254901960787 31.127450980392158
31.617647058823533 32.107843137254896
32.598039215686271 33.088235294117652
33.578431372549012 34.068627450980379
34.558823529411754 35.049019607843128
35.539215686274503 36.029411764705884
36.519607843137244 37.009803921568626 37.5
37.990196078431367 38.480392156862742
38.970588235294109 39.460784313725476
39.950980392156858 40.441176470588225
40.931372549019606 41.421568627450981
41.911764705882334 42.401960784313715
42.892156862745104 43.382352941176471
43.872549019607831 44.362745098039213
44.85294117647058 45.343137254901961
45.833333333333329 46.323529411764696
46.81372549019607 47.303921568627437 47.794
117647058826 48.284313725490193

48.774509803921561 49.264705882352942
49.754901960784302 50.245098039215684
50.735294117647044 51.225490196078439
51.715686274509807 52.205882352941181
52.696078431372541 53.186274509803908
53.67647058823529 54.16666666666665
54.656862745098024 55.147058823529413
55.63725490196078 56.127450980392155
56.617647058823508 57.107843137254896
57.598039215686271 58.088235294117652
58.578431372549012 59.068627450980379
59.558823529411754 60.049019607843128
60.539215686274503 61.029411764705884
61.519607843137244 62.009803921568626 62.5
62.990196078431367 63.480392156862742
63.970588235294102 64.460784313725469
64.950980392156836 65.441176470588232
65.931372549019613 66.421568627450981
66.911764705882376 67.401960784313758
67.892156862745082 68.382352941176478
68.872549019607831 69.362745098039198
69.852941176470551 70.343137254901947
70.833333333333314 71.32352941176471
71.813725490196077 72.303921568627473
72.794117647058826 73.284313725490193
73.774509803921561 74.264705882352942
74.754901960784309 75.245098039215691
75.735294117647072 76.225490196078425
76.715686274509792 77.205882352941146
77.696078431372555 78.186274509803908
78.676470588235276 79.166666666666671
79.656862745098039 80.147058823529377
80.637254901960802 81.127450980392169
81.617647058823522 82.107843137254875
82.598039215686256 83.088235294117666
83.578431372548991 84.068627450980387

84.558823529411768 85.04901960784315
85.539215686274531 86.029411764705884
86.519607843137 265 87.009803921568633 87.5
87.990196078431353 88.480392156862735
88.970588235294102 89.460784313725469
89.950980392156836 90.441176470588232
90.931372549019613 91.421568627450981
91.911764705882376 92.401960784313758
92.892156862745082 93.382352941176478
93.872549019607831 94.362745098039198
94.852941176470551 95.343137254901947
95.833333333333314 96.32352941176471
96.813725490196077 97.303921568627445
97.794117647058826 98.284313725490193
98.774509803921561 99.264705882352942
99.754901960784309 12400 12500 12500
13400 18300 20400 21600 23900 25000
26200 26700 27000 27100 27800 28700
30100 30500 31800 32600 33200 34200
34500 36800 37600 37800 39200 39300
39600 40000 40200 40500 41200 41600
43100 43800 44000 44100 44800 45000
45300 45400 45500 45500 45900 46500
46600 47800 48300 49700 49900 51400
52000 52200 52500 52700 53700 54000
54200 54600 55200 55400 55400 55700
55800 55800 55900 56200 56900 57700
57800 57800 58800 58800 59000 59000
59200 59400 59500 60200 60300 60500
61400 61400 61700 62000 62900 63200
63500 64600 64800 64800 65000 65100
65200 65500 66000 66900 67000 67500
67900 68100 68200 68600 69400 69500
69800 70500 71400 71700 71800 72200
72700 73200 73300 73800 73900 74300
74300 74300 74400 74500 74800 75000

75300 75600 76000 76000 76100 76400
76800 76900 77400 78200 78400 78500
79300 80100 80100 80600 80700 80800
81300 81300 81900 82400 82700 83000
83700 84800 84900 85000 85600 86900
87000 87500 88200 88200 90200 91100
92700 93700 94100 94900 95200 95600
95800 96900 98900 100000 100200 100700
102600 102600 103100 103700 104500 105000
108600 109100 110200 110600 111200 111700
114500 114700 115400 117300 122700 123600
125100 125500 126700 127300 128200 131200
133100 134800 135700 136300 139900 140400
143500 160600 163900
Sample Percentile
Annual Salary (USD)
Number of Employees
1 2 3 4 5 6 7 8 9 10 11 12 13
14 15 16 17 18 19 20 21 22 23 24 25
26 27 28 29 30 31 32 33 34 35 36 37
38 39 40 41 42 43 44 45 46 47 48 49
50 51 52 53 54 55 56 57 58 59 60 61
62 63 64 65 66 67 68 69 70 71 72 73
74 75 76 77 78 79 80 81 82 83 84 85
86 87 88 89 90 91 92 93 94 95 96 97
98 99 100 101 102 103 104 105 106 107 108
109 110 111 112 113 114 115 116 117 118 119
120 121 122 123 124 125 126 127 128 129 130
131 132 133 134 135 136 137 138 139 140 141
142 143 144 145 146 147 148 149 150 151 152
153 154 155 156 157 158 159 160 161 162 163
164 165 166 167 168 169 170 171 172 173 174
175 176 177 178 179 180 181 182 183 184 185
186 187 188 189 190 191 192 193 194 195 196
197 198 199 200 201 202 203 204
Gender of Employees

1 0 0 1 0 1 1 0 1 0 0 1 0
1 1 0 1 0 1 1 1 0 0 1 0
1 0 0 1 0 1 1 1 0 0 1 0
1 1 0 1 0 1 1 0 0 1 0 1
0 0 1 1 1 1 0 1 0 0 1 1
0 1 1 1 0 1 0 1 1 0 1 1
1 0 1 1 1 1 1 0 1 1 0 0
0 1 0 1 1 1 1 0 1 1 0 1
0 1 0 1 0 1 1 0 0 1 1 0
1 0 0 0 0 0 0 0 1 0 1 1
1 1 0 0 0 0 1 1 1 1 1 1
0 1 1 0 0 1 1 0 1 0 0 1
1 1 1 1 1 0 1 0 1 0 1 0
1 1 1 0 0 1 0 0 1 1 1 0
1 0 0 1 1 0 1 1 1 1 1 1
1 0 0 0 1 1 0 1 1 1 1 1
1 1 1 0 0 0 1 1 1 0 0
Age of Employees
39 44 24 25 56 41 33 37 51 23 31 27 47
35 29 46 50 30 34 42 51 63 28 32 55
45 34 33 23 40 48 27 36 58 31 21 47
35 52 29 42 60 50 33 26 38 44 25 37
53 46 20 34 60 36 41 33 29 48 43 61
30 36 48 29 26 49 28 44 48 50 48 30
41 35 28 33 61 53 48 47 48 55 32 60
50 49 22 51 22 47 41 24 64 43 22 59
32 45 47 29 61 57 65 34 54 30 39 32
24 40 52 28 53 43 30 46 38 28 46 30
43 29 48 42 18 35 22 44 47 34 37 49
32 37 29 24 43 54 26 47 31 33 42 34
59 43 30 45 50 23 44 48 47 20 31 30
42 25 24 36 32 27 55 36 22 25 47 43
53 38 39 35 23 43 33 44 33 31 36 45
45 39 45 25 34 53 35 52 33 49 59 35
44 61 43 30 32 57 44 44 45 43 33
3

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