Study of topics related to simple and multiple linear regression, including model specification and assumptions, methods of estimation, significance tests of model parameters and various types of multiple regression and predictor-selection techniques. The relationship of partial and semi partial correlation to regression is covered as well as the use of interaction terms and dummy variables in regression. SPSS and SAS are used to illustrate the correct interpretation of regression results.
Credits: 3.0
Recent and Upcoming Instructors
- Qin, Xu
- Fall 2023 (2241-AT) / Class #: 30804 / Section: 1210-LEC - Syllabus for EFOP 2410 - APPLIED REGRESSION ANALYSIS (2241-AT / 30804-LEC) (Xu Qin)