ED 214C: LINEAR MODELS
University of California, Santa Barbara
Intermediate data analysis methods, all of which can be considered to be instances of a general linear model. Selected topics in multiple regression and analysis of variance (ANOVA), including regression with qualitative independent variables, logistic regression models, one- and two-way ANOVA models and analysis of covariance.
Average GPA: 3.87
Grade distribution records: 402 students across 16 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 56 | 13.9% |
| A | 279 | 69.4% |
| A- | 33 | 8.2% |
| B+ | 14 | 3.5% |
| B | 12 | 3.0% |
| B- | 1 | 0.2% |
| C+ | 1 | 0.2% |
| F | 4 | 1.0% |
| S | 2 | 0.5% |
Based on 402 student grade records across 16 terms and 6 professors.
Instructors
- Kia-Keating B 160 students, Average GPA 3.84
- Maul A E 115 students, Average GPA 3.95
- Nylund K L 65 students, Average GPA 3.88
- Wang M 40 students, Average GPA 3.86
- Garber A C 11 students, Average GPA 3.47
- Mainz E A 11 students, Average GPA 4.00