- #1
flying_young
- 9
- 0
What are some of the elementary remedial procedures to multicollinearity (VIF >= 10) in linear regression? We were told to simply just drop that particular independent variable, but someone else suggested we could center the predictor variables (ie., xi = Xi - Xbar). Can somebody explain why centering may also be appropriate in this case?
Thank you very much in advance!
Thank you very much in advance!