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 are drawn from a variety of fields. Prerequisite: 100-level STA course or STA 230, 231, or 240L. Interested students with different backgrounds should discuss and seek instructor consent.
Prerequisites
Prerequisite: 100-level Statistical Science course or Statistical Science 230, 231, or 240L
