If VIF value from a Regression model is 10.2, what should the Black Belt do next?
OPTIONS
- Separate the variables and conduct a Simple Linear Regression
- Drop the predictor that is causing the high VIF and then re-do Regression
- Live with the variable having high VIF and hope that it is a model adequacy issue
- Try doing a Curvilinear Regression
ANSWER
Drop the predictor that is causing the high VIF and then re-do Regression
EXPLANATION
The VIF model being so high, the Black Belt should drop the predictor that is causing the high VIF and then re-do Regression.
