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.
Upon completion of this lesson, you should be able to:
- Fit and interpret regression models with multiple predictors
- Fit and interpret ANCOVA models
- Test specific contrasts from lm() objects
The R code file and data files for this lesson can be found on the Essential R - Notes on learning R page.