Introduction to Regression Using Stata Workshop

Posted October 24th, 2007 by Katherine McNeill

Stata logo blueThis 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

Where: E53-220

Space is limited. To register, contact: Katherine McNeill-Harman, mcneillh@mit.edu.

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