Course Schedule and Catalog

Long Title: INTRODUCTION TO REGRESSION AND STATISTICAL COMPUTING

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 4

Prerequisite(s): (STAT 310 OR ECON 307 OR ECON 382 OR STAT 312) AND (MATH 355 OR CAAM 335) or permission of instructor

Description: A survey of regression, linear models, and experimental design. Topics include simple and multiple linear regression, single- and multi-factor studies, analysis of variance, analysis of covariance, model selection, diagnostics. Data analysis using statistical software is emphasized. Graduate/Undergraduate Equivalency: STAT 615. Recommended Prerequisite(s): STAT 431. Mutually Exclusive: Cannot register for STAT 410 if student has credit for STAT 615.