STAT-5514: Regression Analysis
Description: Classical and modern techniques in regression analysis. Use of modern regression techniques to diagnose collinearity, leverage, and outliers. Model discrimination using cross validation techniques. The study of transformations, biased estimation, and nonlinear regression.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 17
Average GPA: 3.81 (A)
Strict A Rate (No A-) : 75.71%
Average Withdrawal Rate: 0.00%
| Gordon G Vining | 2022 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 1 |
| Jeffrey B Birch | 2014 | 75.7% | 23.5% | 0.8% | 0.0% | 0.0% | 0.0% | 3.73 | 11 |
| Inyoung Kim | 2021 | 98.9% | 0.0% | 1.1% | 0.0% | 0.0% | 0.0% | 3.96 | 5 |