List all assumptions for data to be met before starting with linear regression.

Machine Learning - Interview Questions

List all assumptions for data to be met before starting with linear regression.

Before starting linear regression, the assumptions to be met are as follow :

* Linear relationship

* Multivariate normality

* No or little multicollinearity

* No auto-correlation

* Homoscedasticity

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