This course is an introduction to ordinary least squares (OLS) bivariate and multiple regression, and it assumes familiarity with introductory statistics, probability, and basic algebra. OLS, while useful in and of itself, also serves as the foundation of many more advanced data analytical techniques. The primary goal of the course is to develop a practical, applied, and intuitive (rather than strictly theoretical or mathematical) understanding of OLS regression. Participants should leave with a solid working foundation of the application of OLS, the ability to use it in their own research, and the skills to build on it in their further study of more advanced statistical topics.
Below you will find the course syllabus as well as readings for the class.