Ista Zahn
| Jan/17 | Fri | 09:00AM-12:00PM | 1-115 |
Enrollment: Limited: Advance sign-up required
Prereq: a general familiarity with Stata and linear regression
This hands-on class provides a comprehensive introduction to estimating the linear regression model using ordinary least squares in Stata. Topics for the class include multiple regression, dummy variables, interaction effects, hypothesis tests, and model diagnostics.
Prerequisites: a general familiarity with Stata, including importing and managing datasets and data exploration, the linear regression model, and the ordinary least squares estimation.
Current students, faculty, and staff only. An Athena login is required to access the software.
Register here: http://libcal.mit.edu/event.php?id=482980
Sponsor(s): Libraries
Contact: Jennie Murack, 7-238, 617 258-6680, MURACK@MIT.EDU