Linear Statistical Models

Catalog description

Reviews many statistical models including simple and multiple regression; logistic regression and non-linear regression; analysis of variance; analysis of covariance; and factorial and fractional factorial designs. Coverage includes interactions, blocking, replication, nesting, and repeated measures. Each topic includes model diagnostics. <i>Required of all data science students.</i>