STAT 410
LINEAR REGRESSION
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): CMOR 302 or MATH 355 .
Prerequisites & course information
Short Title: LINEAR REGRESSION Department: Statistics Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): STAT 310 or STAT 311 or STAT 312 or ECON 307 or STAT 315 or DSCI 301
Sources
- Course catalogue ↗2026–2027