Techniques for fitting regression models are developed and applied to data using statistical software. Topics include simple linear regression, multiple regression, inference, regression diagnostics, remedial measures, model selection, logistic regression, and an introduction to nonlinear regression models.
P: MATH 260 with at least a C, MATH 306 with at least a C, and MATH 320 with at least a C
Fall Only.