This week focuses on the most common type of statistic model: the general linear model, which includes regression, ANOVA, ANCOVA, etc. as special cases. The learning goals for this week are: (1) an understanding of the structural components of a linear model, including continuous and categorical covariates, and interactions; (2) means of diagnosing and selecting among different models; (3) how to fit, summarize, diagnose linear models in R.

A very long set of slides, which covers material we will not be able to get to in class, are found .

The script we will go through in class is found  The data used in the script is found .