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: 100-level Statistical Science course or Statistical Science 230 or Statistical Science 240L. Interested students with a different background should discuss and seek instructor consent.