This 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. Join Nealia Khan, Statistical Consultant, Harvard-MIT Data Center, for this informative session.
Familiarity with both Stata and the linear regression model is required.
WHEN: Wednesday, January 30, 1 – 3 pm
Enrollment is limited to 20 participants. Contact Katherine McNeill-Harman to sign up or with questions. See //libraries.mit.edu/guides/subjects/data/training/workshops.html for more information.