This assumption in a regression analysis states that the explanatory variables are not correlated.
A) linearity
B) multicollinearity
C) independence
D) normality

Question

Quizplus · Accepted Answer

Multicollinearity refers to the situation in regression analysis where two or more explanatory variables are highly correlated, making it difficult to isolate the effect of each variable on the dependent variable. The assumption against multicollinarity is that explanatory variables should not be too highly correlated with each other.

This Assumption in a Regression Analysis States That the Explanatory