STAT 208: Linear Models
University of California, Santa Cruz
Theory, methods, and applications of linear statistical models. Review of simple correlation and simple linear regression. Multiple and partial correlation and multiple linear regression. Analysis of variance and covariance. Linear model diagnostics and model selection. Case studies drawn from natural, social, and medical sciences. STAT 205 strongly recommended as a prerequisite. Undergraduates are encouraged to take this class with permission of instructor. (Formerly AMS 256.)
Average GPA: 3.54
Grade distribution records: 31 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 2 | 6.5% |
| A | 9 | 29.0% |
| A- | 2 | 6.5% |
| B | 4 | 12.9% |
| B- | 2 | 6.5% |
| C | 1 | 3.2% |
| S | 11 | 35.5% |
Based on 31 student grade records across 2 terms and 2 professors.
Instructors
- Robert Lund 21 students, Average GPA 3.58
- Paul Parker 10 students, Average GPA 3.50