ST 351 - Applied Regression Analysis

Regression analysis and its applications. Topics include simple and multiple linear regression, model diagnostics and testing, residual analysis, transformations, indicator variables, variable selection techniques, logistic regression and analysis of variance. Most methods assume use of a statistical computing package.

Credits: 4

Prerequisites/Restrictions: ST-201, ST 251, or ST-252 or Permission of Instructor