STAT 346
Regression Theory and Applications Spring 2026 (also offered Fall 2025)
Division III Q Quantitative/Formal Reasoning

Class Details

This course provides a comprehensive introduction to regression theory, emphasizing both the theoretical foundations and practical applications of simple and multiple linear regression. Students will develop a deep understanding of regression models through the lens of linear algebra, exploring key concepts such as estimation, inference, and model diagnostics. Throughout the course, they will gain hands on experience using R to implement and assess regression models with real world data. By integrating theory and computation, this course equips students with the skills needed to analyze relationships between variables and make data-driven predictions across various disciplines.
The Class: Format: lecture
Limit: 30
Expected: 20
Class#: 3473
Grading: yes pass/fail option, no fifth course option
Requirements/Evaluation: Weekly homework, quizzes, theory and data analysis exams, and final course project.
Prerequisites: MATH/STAT 341, MATH 250, and at least one of STAT 201 or 202. Or permission of the instructor.
Enrollment Preferences: Statistics majors, seniors, juniors, sophomores, first years
Distributions: Division III Quantitative/Formal Reasoning
QFR Notes: This course prepares students in the use of quantitative methods for the modeling, prediction and understanding of scientific phenomena.

Class Grid

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