STATS 413
Applied Regression Analysis
This course covers traditional and modern topics in regression analysis. It is aimed primarily at undergraduate majors in Statistics and Data Science.
Prerequisites & course information
Linear Algebra (MATH 214 or MATH 217 or MATH 417 or EECS 245) and either (i) Intermediate Statistics (STATS 401 or STATS 412 or STATS 426) or (ii) [Introductory Statistics (DATASCI 101 or STATS 250 or STATS 280) and Probability (MATH/STATS 425 or MATH/STATS 525)]. Or graduate standing. (Prerequisites enforced at registration.) (4). (BS). May not be repeated for credit. No credit granted for those who have completed or enrolled in STATS 500.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Applied Regression Analysis · 4 · Graduate credit