Here we'll extend what we learned in the last two chapters to regression models with multiple predictors and to ANCOVA (Analsysis of Covariance). We'll also briefly touch on more complex designs and on sing contrast to test specific between-group hypotheses.
- Fit and interpret regression models with multiple predictors
- Fit and interpret ANCOVA models
- Test specific contrasts from lm() objects