Which of the following is not an appropriate way to deal with high multicollinearity?
Collect more data
Drop a redundant variable
Divide the standard error for each variable by its Variance Inflation Factor
The solution is... View the full answer
Sign up to view the full answer
As we know multicollinearity is a situation when two or more explanatory variables are highly related. In... View the full answer