STAT 344
Applied Regression Analysis
Applied regression analysis involving the extensive use of computer software. Includes: linear regression; multiple regression; stepwise methods; residual analysis; robustness considerations; multicollinearity; biased procedures; non-linear regression.
Prerequisites & course information
Weekly hours: 3 Lecture hours and 1 Practicum/Lab hours Prerequisite(s): STAT 242 or STAT 245 or STAT 246. Note: Students with credit for ECON 404 may not take this course for credit.
Sources
- Course catalogue ↗2026-2027