State the assumptions of linear regression.

Linear regression has the following assumptions, failing which the linear regression model

does not hold true:

The dependent variable should be a linear combination of independent variables

There should not be any autocorrelation in error terms

The errors should have zero mean and should be normally distributed

There should not be any multi-col linearity between the variables

Error terms should be homeostatic in nature