Linear models and least squares fitting: simple and multiple linear regression; analysis of variance (fixed, random and mixed models; crossed and nested effects; balanced and unbalanced designs); analysis of covariance, factorial designs; incomplete layouts; use of transformations.
Prerequisites: Mathematics 2A-B or 3A-B or 34A-B or 34LA-LB; and PSTAT 5A or PSTAT 5LS or PSTAT 109 or Math 4A or Psy 5; Completion of all listed prerequisites with a grade of C- or better.