Welcome to the course website for Applied Linear Statistical Models at Kansas State University. Applied linear models is a matrix-based regression course. During the semester we cover the basics such as regression model building and checking, least squares estimation, and transformations. We will also cover modern topics such as regularization, Bayesian approaches, generalized linear models and random effects models.