When multiple independent variables are used to predict a dependent variable in multiple regression, multicollinearity among the independent variables is often a concern.
What is the main problem caused by high multicollinearity among the independent variables in a multiple regression equation?
Can you still achieve a high r2 for your regression equation if multicollinearity is present in your data?