Multicollinearity| Multicollinearity in E Views| How to Interpret and Detect Multicollinearity| VIF

This video explains the concept of Multicollinearity in a Multiple Regression Model.
The video explains how to detect Multicollinearity in E views and how to remove Multicollinearity from the model.
The video is a step by step tutorial explaining:
1. What is Multicollinearity?

2. Why Multicollinearity is a problem in a Multiple Regression Model?

3. How to detect Multicollinearity?
- High pair wise correlation (Correlation method)
- Variance Inflation Factor Method

4. How to solve Multicollinearity?
- Drop a variable
- Transform some of the variable if possible
- Transform the entire regression model
- Acquire additional data or new sample
- Ridge Regression
- Principal Component Analysis

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