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This lecture covers tools for regression analysis, including ANOVA, F-test, coefficient of determination, model selection, influential points, leverage, outliers, Cook's distance, and diagnostic plots like QQ-plot. It emphasizes the importance of model assessment and dealing with problematic data points.