This new hands-on class will provide a comprehensive introduction to estimating the linear regression model using ordinary least squares in Stata. Topics covered include: multiple regression, dummy variables, interaction effects, hypothesis tests, and model diagnostics. In addition, instructors will explain the substantive interpretation of regression outputs. Taught by the Harvard-MIT Data Center (HMDC) Statistical Consultant.
Prerequisites: General familiarity with Stata, including importing and managing datasets and data exploration. Familiarity with the linear regression model and ordinary least squares estimation. Students currently enrolled in a graduate-level introduction to statistics class that covers regression also are eligible.
When: Wednesday, November 7th, 12-2pm
Space is limited. To register, contact: Katherine McNeill-Harman, firstname.lastname@example.org.