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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.
Spring 2025
Average Grade - 2.773
Median Grade - 3.0