I am performing a linear regression analysis with two independent variables (one binary, one continuous) and there is interaction between them. Adding of interaction variable gives multicollinearity problem with continuous variable, therefore I centered the both variables around the mean and computed the interaction again. Unfortunately the results still showed very high VIF value indicating multicollinearity. What should I do to include the interaction term, but not have multicollinearity problem?
Thanks for any help.