The document discusses model selection in multiple regression analysis. It emphasizes starting with theory, evaluating coefficient signs and statistical significance, and using tests like the F-test and Ramsey RESET test to choose the best fitting model specification and decide between restricted and unrestricted models or level-level and log-log forms. The next tutorial will cover testing for multicollinearity.