How to deal with multicollinearity?

Multicollinearity occurs when two or more independent variables in a regression model are highly correlated. To address it:

• Remove one of the correlated variables.
• Combine the correlated variables into a single variable.
• Use dimensionality reduction techniques like PCA.
• Regularize the regression model (e.g., with Lasso or Ridge regression).