STAT 478 - Regression Analysis

Simple and multiple linear regression theory and applications, including matrix formulation, estimation, and inference, validation of assumptions, model building, and time series.

Prerequisites: Completion of Essential Skills in Statistics, MATH 192 - Essentials of Calculus or MATH 198 - Analytic Geometry and Calculus I, MATH 285 - Matrix Algebra or MATH 357 - Linear Algebra, and STAT 250 - Statistical Computing.
Credits: 3
NOTE:
* This course counts toward the 63-hour Liberal Arts and Sciences (LAS) graduation requirement.