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STT 470 (Course) - 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 - All Semesters

Average Grade - 3.154
Median Grade - 3.5
26 total students

Latest grades from Spring 2026

STT 470 - Overview

Semester Grade Info
Spring 2026 Average Grade - 3.433
Median Grade - 3.5
Spring 2025 Average Grade - 2.773
Median Grade - 3.0

Back to Overview for STT 470

Spring 2026

Average Grade - 3.433
Median Grade - 3.5
15 total students

Back to Overview for STT 470

Spring 2025

Average Grade - 2.773
Median Grade - 3.0
11 total students

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