________ happens when variables in a multiple regression model are too highly correlated with each other.
A)Multicollinearity
B)Transformations
C)Statistical significance

Question

Quizplus · Accepted Answer

Multicollinearity occurs when there is a high correlation between the predictor variables in a multiple regression model, which can lead to unreliable and unstable estimates of the regression coefficients. This can make it difficult to determine the independent effects of each predictor variable on the outcome variable. Therefore, it is important to check for multicollinearity before interpreting the results of a multiple regression analysis. Choices B and C are not directly related to multicollinearity.

________ Happens When Variables in a Multiple Regression Model Are