Introduction to 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 may not receive credit for both STAT 3130 and MATH 4050 . Components: Class Prereqs/Coreqs: P: Either MATH 1530 with a grade of C- or higher or a math placement of 20 or higher and MATH 1830 with a grade of C- or better. Typically Offered: Fall