MTH 668 - Applied Linear Models II

(4 credits)

Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: MTH 567 or permission of instructor. The purpose of this course is to continue to explore the fundamental concepts involved in applied data analysis. We will study data analysis techniques that model differences in the response variable from independent factors. We will continue using the multiple regression model developed in MTH 567 to study model checking, two way analysis of variance, repeated measures, serial correlation, and multivariate response. We will also study categorical data techniques such as risk, odds, and logistic and Poisson regression. Part two of a two-part sequence.

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