Regression Episode 5: Multiple Regression
In prior episodes in his series on the regression model, Dan explored topics including the definition of the regression model for one predictor, how the model is estimated by ordinary least squares, and how to make inferences about both the overall model and the effects of specific predictors. In his fifth installment in the series...
Dan expands the regression model to include two or more predictors. He describes the many advantages of a regression model that includes multiple predictors, and he describes both the joint and unique effects of the set of predictors on the outcome. He concludes with a demonstration of a three-predictor regression model studying state-specific murder rates in the U.S.