Multicollinearity occurs when two or more independent variables are highly correlated. This can lead to unreliable estimates of coefficients. To handle multicollinearity: - Use Variance Inflation Factor (VIF) to identify and quantify multicollinearity. - Remove or combine correlated variables. - Apply principal component analysis (PCA) to reduce dimensions.
