STAT 478 - Regression Analysis

Simple and multiple linear regression theory and applications, including matrix formulation, estimation and inference, validation of assumptions, model building, time series and one-way ANOVA as regression models, and logistic regression.

Prerequisites: STAT 330 - Introduction to Linear Models, (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.
Credit(s): 3
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