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STT 470 (Course) - Grade Details

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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.


Leonard Chukuma Johnson

Average Grade - 2.773
Median Grade - 3.0
11 total students

Latest grades from Spring 2025

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