correlation and its types -ppt
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This document introduces various types of correlation. Correlation refers to the relationship between two or more variables. There are positive and negative correlations. Positive correlation means that as one variable increases, the other also increases, while negative correlation means that one variable increases as the other decreases. Other types discussed include simple, partial, and multiple correlation. Linear correlation means the ratio of change between variables is constant, while non-linear correlation means the ratio of change is not constant. Examples are provided for each type of correlation.
correlation and its types -ppt
- 1. TOPIC : INTRODUCTION OF CORRELATION PRESENTED BY: MEHARLEEN KAUR PUPIL-TEACHER ROLL NO. : 26
- 2. MEANING OF CORRELATION Correlation means to find out the relationship between two or more variables. Examples: Price and Demand, Height and Weight, Temperature and Demand for soft drinks
- 3. TYPES OF CORRELATION : 1. POSITIVE CORRELATION 2.NEGATIVE CORRELATION 3.SIMPLE CORRELATION 4.PARTIAL CORRELATION 5.MULTIPLE CORRELATION 6.TOTAL CORRELATION 7.LINEAR CORRELATION 8.NON LINEAR CORRELATION
- 4. POSITIVE CORRELATION • A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases • A positive correlation is a relationship between two variables that tend to move in the same direction. • Example : Salary and Expenditure
- 5. NEGATIVE CORRELATION • Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. • Negative correlation describes when two variables tend to move in opposite direction. • Example : Price of an article and its Demand
- 6. SIMPLE CORRELATION • When we study the association between two variables it is called Simple Correlation .
- 7. • PARTIAL CORRELATION When we study the association between two variables only while there are given more than two variables . Example : Given variables x,y,z We take only x & y ignoring z OR We take only y & z ignoring x OR We take only x & z ignoring y OR • MULTIPLE CORRELATION When we are given more than two variables and we study association between one variable and other variables together . Example : Given variables x,y,z We study association between X & Y together Or Y & Z together
- 8. LINEAR CORRELATION & NON-LINEAR CORRELATION • Correlation is said to be linear if the ratio of change is constant between the two variables . • Example : When the amount of output in a factory is doubled by doubling the number of workers, this is an example of linear correlation. • Correlation is said to be non- linear if the ratio of change is not constant between the two variables .
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