This lecture covers the revision of multiple regression, the geometry of regression, and one-way ANOVA. It explains the interpretation of regression coefficients, the geometry of least squares, and the Pythagorean theorem. The lecture also delves into the analysis of variance, F-test, coefficient of determination, and adjusted coefficient of determination. It provides insights into regression estimation output, testing submodels, and the significance of explanatory variables in regression models.