In multiple regression analysis when the independent variabl

In multiple regression analysis, when the independent variables are highly correlated, this situation is called __________________.

    curvilinearity

    autocorrelation

    homoscedasticity

    Multicollinearity

Solution

Answer: D

That is, multicollinearity

Since by the definition of multicollinearity, there is a high or moderate correlation between two or more predictors in a multiple regression.