Correlation
- Shows the association of 2 variables.
- Displays liner relationships between 2 variables.
- No difference between dependent & Independent variables
- Resembles the strength of association.
- Aim’s to find the numerical values helps show the relationship.
Regression
- Shows how independent variable is numerically related to dependent variable.
- Liner Regression fits best , Helps estimate one variables basis on another variables.
- The regression of y on x is different from x on y .
- Regression reflects the impact of the units changes in the independent variables on the dependent variable.
- Regression whose goal is to predict values of the random variable on the basis of the values of fixed variable.
Similarities between correlation and regression
Thought having some key difference between correlation & regression, there are some similarities.
- Both works to express the direction & strength of relationship between 2 variables.
- When correlation is negative the regression slide/slope is also negative.
- When correlation is positive the regression slide/ line is also positive.
