What is collinearity, and what to do with it? How to remove multicollinearity?

Data Science, AI and ML
#1

In a multivariate regression equation, multicollinearity occurs when one independent variable is significantly linked with another independent variable. This can be troublesome since it calls into question an independent variable’s statistical significance.

You may make a multicollinearity of independent variables by using the Varian Inflation Factors (VI Factors) - a typical benchmark is that if the VIF is more than 5 then multi-colineering exists.