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What is Correlation and Regression? What is the difference between regression and correlation problems?


Correlation=

Correlation analysis shows the relationship between two or more variables and how the change effects each variables but these variables fluctuate together.

Regression=

Regression analysis is used to find the relationship between variables (X, Y,). Like the mean value of one variable and the mean value of another variable and the connection of both. Regression analysis shows causal effect relationship.


Difference=


                     Correlation
                 Regression
Used to measure the strength of relationship of variables.
Used for predicting the variables.
Both variables are supposed to be independent.
One variable is considered as independent and other dependent.
Here, Correlation Co-efficient (r) defines the strength of relationship of variables.
Here, Correlation Co-efficient (b) defines increase or decrease in dependent variable.
(r) is symmetrical related to variables X and Y.
(b) same as X on Y but not same as Y on X.
It explains the existence of relationship of variables (not cause effect relation).
It explains the cause and effect relationship of variables.
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