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: 6
Average GPA: 3.84 (rounds to A-)
Strict A Rate (No A-) : 72.37%
Average Withdrawal Rate: 0.00%
| Inyoung Kim | 2024 | 88.7% | 10.3% | 1.0% | 0.0% | 0.0% | 0.0% | 3.84 | 6 |