STAT-4214: Methods of Regression Analysis
Description: Multiple regression including variable selection procedures; detection and effects of multicollinearity; identification and effects of influential observations; residual analysis; use of transformations. Non-linear regression, the use of indicator variables, and logistic regression. Use of SAS.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 54
Average GPA: 3.42 (A-)
Strict A Rate (No A-) : 45.39%
Average Withdrawal Rate: 1.65%
| Jacqueline R Ryan | 2014 | 56.9% | 33.1% | 6.2% | 3.7% | 0.0% | 0.0% | 3.44 | 4 |
| Gordon G Vining | 2024 | 52.4% | 34.6% | 4.7% | 0.8% | 3.9% | 3.6% | 3.33 | 11 |
| Feng Guo | 2023 | 81.3% | 18.6% | 0.0% | 0.0% | 0.0% | 0.0% | 3.80 | 2 |
| Zhiyang Zhang | 2023 | 65.4% | 11.5% | 15.3% | 7.6% | 0.0% | 0.0% | 3.35 | 1 |
| Leah R Johnson | 2022 | 34.3% | 38.3% | 16.3% | 5.6% | 2.2% | 3.3% | 3.00 | 7 |
| Anne R Driscoll | 2023 | 58.4% | 33.9% | 5.6% | 1.2% | 0.3% | 0.6% | 3.51 | 10 |
| Matthew D Slifko | 2019 | 70.0% | 19.9% | 10.0% | 0.0% | 0.0% | 0.0% | 3.58 | 1 |
| Susanne Aref | 2005 | 62.9% | 24.8% | 7.9% | 1.6% | 2.8% | 0.0% | 3.38 | 2 |
| George R Terrell | 2009 | 37.8% | 47.6% | 13.5% | 1.2% | 0.0% | 0.0% | 3.20 | 4 |
| Sierra N Merkes | 2024 | 90.0% | 6.0% | 3.4% | 0.6% | 0.0% | 0.0% | 3.86 | 4 |
| Frederick W Faltin | 2020 | 61.0% | 37.6% | 1.4% | 0.0% | 0.0% | 0.0% | 3.59 | 2 |
| Leanna L House | 2011 | 60.8% | 35.7% | 0.0% | 0.0% | 0.0% | 3.6% | 3.59 | 2 |
| Parul Vijay Patil | 2022 | 77.0% | 23.1% | 0.0% | 0.0% | 0.0% | 0.0% | 3.68 | 1 |
| Jared Clark | 2023 | 85.7% | 14.2% | 0.0% | 0.0% | 0.0% | 0.0% | 3.75 | 1 |
| Roberts Denisa A Olteanu | 2014 | 77.3% | 4.5% | 0.0% | 0.0% | 9.1% | 9.1% | 3.50 | 1 |
| Clark K Gaylord | 2016 | 56.5% | 39.0% | 0.0% | 0.0% | 0.0% | 4.3% | 3.56 | 1 |