MATH 6500 - Regression II

This is a second course in applied linear regression. Topics will include: logistic regression, diagnostic procedures, general linear F-tests and sequential sum of squares, multicollinearity, piecewise regression, selection of the best subset of predictors, more advanced diagnostic procedures, and non-parametric regression. The course will blend hands-on data analysis and a theoretical framework.

Note: Distance Learning Approved.

Credits: 3

Prereq: MATH 5500 or instructor permission. Acceptance into the Masters in Mathematical Sciences program.
Lecture hours: 3
Lab hours: 1
Course/lab fee: $