STAT-5044: Regression and Analysis of Variance
Description: Principles and methods of data analysis employing linear models for continuous response variables. Topics include both classical descriptive measures and modern computer-based techniques for data visualization; simple, multiple and weighted regression; analysis of variance for one-way and higher-way classifications; fixed, mixed, and random effects models; analysis of covariance; detection and correction of modeling flaws; statistical power.
Pathways: N/A
Course Hours: 3 credits
Corequisites: STAT-5014
Crosslist: N/A
Repeatability: N/A
Sections Taught: 20
Average GPA: 3.73 (A)
Strict A Rate (No A-) : 61.14%
Average Withdrawal Rate: 0.00%
| Inyoung Kim | 2023 | 81.6% | 18.2% | 0.0% | 0.0% | 0.2% | 0.0% | 3.76 | 17 |
| Eric P Smith | 2005 | 58.4% | 41.6% | 0.0% | 0.0% | 0.0% | 0.0% | 3.54 | 2 |
| John P Morgan | 2006 | 50.0% | 50.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.53 | 1 |