A basic overview of the general linear model, including error and inferences.

Explains the relevance of ANCOVA to linear models.

An example and explanation of how linear regression can predict values for a continous variable, and the effect of outliers.

Explains regression lines and how to interpret residual plots.

How F-tests (including SSR, SSE, and SST) can help disprove null hypotheses.