Difference between Correlation and Regression | Correlation VS. Regression
Difference between Correlation and Regression
|Correlation is the relationship between two or more variable, which vary in the same or the opposite direction.
|Regression is mathematical measure showing the average relationship between two variables.
|Both the variables x and y are random variables.
|Here x is a random variable and y is a fixed variable. Sometimes both the variables may be random variables.
|It finds out the degree of relationship between two variable and not cause the effect of the variable.
|It indicates the cause and effect relationship between the variables and establishes a functional relationship.
|It is used for testing and verifying the relation between two variables and gives limited information.
|Besides verification, it is used for the prediction of one value, in relationship to the other given value.
|The coefficient correlation is a relative measure.
|Regression coefficient is an absolute figure.
|It has limited applications, because it is confined only to linear relationship between the variables.
|It has wider applications, as it studies linear and non-linear relationship between the variables.
|It is not very useful for further mathematical treatment.
|It is widely used for further mathematical treatment.