STAT 410: LINEAR REGRESSION
Spring 2024 · Section 001 · CRN 21513
An introduction to linear regression and its applications. Topics include simple and multiple linear regression, least squares, analysis of variance, model selection, diagnostics, remedial measures. Applications to real data using statistical software are emphasized. Recommended Prerequisite(s): CAAM 335 or MATH 355. Mutually Exclusive: Cannot register for STAT 410 if student has credit for STAT 615.
- Credits
- 4
- Instructors
- Daniel Kowal