1. Statistics
2. Correlation and Regression Analysis
3. Regression Analysis
4. 363410

In a regression analysis with multiple independent variables, multicollinearity can be caused by:

A- A strong nonlinear relationship between the dependent variable and one or more independent variables.

B-A strong heteroskedastic relationship between the dependent variable and one or more independent variable.

C-A strong linear relationship between two or more independent variables.

D None of the above.

I have a definition of tow or more of the independent variables of a multiple regression model are highly correlated.

I don't know if its C or D and its in my book so this practice test doesn't even have answers