![REFERENCES
[1] Chambers J M, Cleveland W S, Kleiner B and Tukey P A 1983 Graphical Methods for Data Analysis
(Pacific Grove, CA: Wadsworth & Brooks/Cole)
[2] Mersereau, A.,Metz J. 1998 True lines The Physics Teacher 36, 174 doi: 10.1119/1.879995
[3] Blikensderfer R 1985 Systematic errors and graphical extrapolation The Physics Teacher 23, 545
doi: 10.1119/1.2341909
[4] Ruprigth ME.2011 Measuring Systematic Error with Curve Fits The Physics Teacher 49, 54; doi:
10.1119/1.3527759
[5] Zetie KP.2016 Can students draw lines of best fit? Phys.Educ .51065017
[6] Sebastião PJ. 2013 The art of model fitting to experimental results European Journal of Physics,
Volume 35, Number1
[7] Vasilyeva D ,Giannotti M, Goehl JF2015 Comparison of different approaches in extraction of
aparameter in a linear fit Eur.J.Phys.36045011
[8] Peterlin P 2010 Data analysis and graphing in an introductory physics laboratory:spreadsheet
versus statistics suite Eur.J.Phys.31 919
[9] Minitab Blog, https://blog.minitab.com/blog/adventures-in-statistics-2/regression-analysis-
howdo-i-interpret-r-squared-and-assess-the-goodness-of-fit
[10] Frost https://statisticsbyjim.com/regression/interpret-r-squared-regression/
[11] Espe Materials of high vacuum technology Vol 1 page 46, Pergamon 1966](https://image.slidesharecdn.com/trendsindataanalysis-200204073056/85/Trends-in-Data-Analysis-in-2020-International-Journal-of-Computational-Science-and-Information-Technology-IJCSITY-3-320.jpg)
Trends in Data Analysis in 2020 - International Journal of Computational Science and Information Technology (IJCSITY)
- 1. “Trends in Data Analysis in 2020” International Journal of Computational Science and Information Technology (IJCSITY) ISSN : 2320-7442 (Online) ; 2320 - 8457 (Print) http://aircconline.com/ijcsity/V7N4/7419ijcsity02.pdf
- 2. DATA TABLE, EQUATION FIT OR INTERPOLATION Héctor G. Riveros Instituto de Física UNAM, Mexico ABSTRACT The results of an experiment can be presented as a data table or as an equation that represents them In the case of adjusting a polynomial, Excel allows us to change its degree and calculates the R2 of the Adjusted equation. It is considered that if it is 1 the equation goes through all the experimental points. By adjusting Tungsten resistivity data, it is found that the equations do not go through all the points (even with R2 = 1), which is verified by calculating the differences for each point. In those cases, the best fit is the linear interpolation between consecutive points. The equation adjusted by Excel, Mat lab or Origin requires checking if it corresponds to the minimum in the sum of squared differences, it is possible that it can be reduced by changing the coefficients values. KEYWORDS Equation adjustment, interpolation, uncertainties. Full Text: http://aircconline.com/ijcsity/V7N4/7419ijcsity02.pdf
- 3. REFERENCES [1] Chambers J M, Cleveland W S, Kleiner B and Tukey P A 1983 Graphical Methods for Data Analysis (Pacific Grove, CA: Wadsworth & Brooks/Cole) [2] Mersereau, A.,Metz J. 1998 True lines The Physics Teacher 36, 174 doi: 10.1119/1.879995 [3] Blikensderfer R 1985 Systematic errors and graphical extrapolation The Physics Teacher 23, 545 doi: 10.1119/1.2341909 [4] Ruprigth ME.2011 Measuring Systematic Error with Curve Fits The Physics Teacher 49, 54; doi: 10.1119/1.3527759 [5] Zetie KP.2016 Can students draw lines of best fit? Phys.Educ .51065017 [6] Sebastião PJ. 2013 The art of model fitting to experimental results European Journal of Physics, Volume 35, Number1 [7] Vasilyeva D ,Giannotti M, Goehl JF2015 Comparison of different approaches in extraction of aparameter in a linear fit Eur.J.Phys.36045011 [8] Peterlin P 2010 Data analysis and graphing in an introductory physics laboratory:spreadsheet versus statistics suite Eur.J.Phys.31 919 [9] Minitab Blog, https://blog.minitab.com/blog/adventures-in-statistics-2/regression-analysis- howdo-i-interpret-r-squared-and-assess-the-goodness-of-fit [10] Frost https://statisticsbyjim.com/regression/interpret-r-squared-regression/ [11] Espe Materials of high vacuum technology Vol 1 page 46, Pergamon 1966