STT 470 taught by Leonard Chukuma Johnson (Course & Instructor) - Grade Details
(with breakdown by semester)
Course Title: Modern Regression Modeling
Course Description: Building, understanding, and using predictive models. Fundamentals of simple and multiple linear regression models and their application in both a Bayesian and Frequentist paradigm. Assessing validity of model assumptions. Other regression models including logistic regression, Poisson models, Quasi-Poisson models, and other generalized linear models.
STT 470 / Leonard Chukuma Johnson - All Semesters
Average Grade - 3.154
Median Grade - 3.5
Latest grades from Spring 2026
STT 470 / Leonard Chukuma Johnson - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Spring 2026 | Average Grade - 3.433 Median Grade - 3.5 |
15 |
| Spring 2025 | Average Grade - 2.773 Median Grade - 3.0 |
11 |
Back to Overview for STT 470 / Leonard Chukuma Johnson
Spring 2026
Average Grade - 3.433
Median Grade - 3.5
Back to Overview for STT 470 / Leonard Chukuma Johnson
Spring 2025
Average Grade - 2.773
Median Grade - 3.0