Applied Regression Analysis

Catalog description

A thorough investigation of regression methods used in statistics including linear regression models, multiple regression models, model building, residual analysis, and time series. Students in this course will also learn about the underlying mathematical models for the analyses. Students may not receive credit for both STAT 3130 and MATH 4050 . Components: Class Prereqs/Coreqs: P: MATH 4030 with a grade of "C-" or better. Typically Offered: Fall