Multiple regression using STATA video 3 evaluating assumptions

Third video in the series, focusing on evaluating assumptions following OLS regression. Specifically focuses on use of commands for obtaining variance inflation factors, generating fitted Y values, unstandardized, standardized, and studentized residuals. Covers use of residuals plots for evaluating assumptions related to linearity and constant variances. Also, covers ways of identifying outliers using studentized residuals. The data for this video can be downloaded here: https://drive.google.com/file/d/1YUnt... Word document containing commands can be downloaded here: https://drive.google.com/file/d/18AKC...