## Collinearity Statistics

There is something called variance inflation factor (VIF), If VIF value is greater than ten (VIF > 10)  then there is a collinearity problem. This Video explains how to assist the problem in a formal way.

Also, Find the prediction model equation in this video tutorial and explanation of model and assumptions

## What are Collinearity or Multicollinearity In Statistics

In statistics, multicollinearity (and also collinearity) is actually an occurrence in which two or more predictor variables in a multiple regression model are highly correlated, meaning that one can possibly be linearly predicted from the others with a significant degree of accuracy.

Collinearity happens when 2 predictor variables (e.g., x1 and x2) have a non-zero correlation in a multiple regression. Multicollinearity happens when more than 2 predictor variables (e.g., x1, x2 and x3) are inter-correlated.

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