This course on multiple linear regression discusses how to use continuous and discrete predictors to build a robust regression model. It presents a general method for conducting the multiple regression analysis beginning with the practical problem and ending with the practical solution. It also discusses multicollinearity and residual analysis, two key elements for assessing the validity of the regression model. Minitab is used to generate the models through a manual iteration method and best subsets.
