How do you detect and handle influential outliers in Linear Regression?

Influential outliers are detected using leverage, Cook’s distance, and residual analysis.

Outliers with high leverage can disproportionately affect regression coefficients. Cook’s distance measures influence by combining leverage and residual size. Handling includes removal, transformation, or robust regression.