Question

6) When two or more independent variables in the same regression model can predict each other better than the dependent variable, the condition is referred to as ________.

A) autocorrelation

B) heteroscedasticity

C) homoscedasticity

D) multicollinearity

Answer 1

When two or more independent variables in the same regression model can predict each other better than the dependent variable, the condition is referred to as D Multicollinearity.

so, the correct option is D.

Multicollinearity generally occurs when there are high correlations between two or more predictor variables. In other words, one predictor variable can be used to predict the other variable.

Thanks.