Extensive study of regression modeling. Multiple regression, weighted least squares, logistic regression, log-linear models, analysis of variance, model diagnostics and selection. Emphasis on applications. Examples drawn from a variety of fields. Prerequisite: Statistics 100-level course. Permission of Director of Undergraduate Studies required for courses outside Statistical Science. One course.