What is Multicollinearity? Multicollinearity occurs when two or more explanatory variables in the regression model are highly correlated with each other making it difficult to isolate their individual effects on the dependent variable. Multicollinearity has two types: Perfect Multicollinearity Imperfect Multicollinearity.