STA 210: Regression Analysis

STA 210 is an applied introduction to regression analysis and multivariate thinking, emphasizing linear and logistic regression. We will learn the fundamentals of these methods, gain experience analyzing real-world (and often messy!) data, and learn how to communicate our statistical findings to others. At all times we will utilize modern computing tools and reproducible workflows. Importantly, the emphasis of STA 210 is on applied data analysis and mathematical intuition rather than mathematical theory.

Course info
Lecture T/Th 10:05 - 11:20 AM Gross Hall 103
Lab 01: Jennifer + Donald M 1:25 - 2:40 PM Old Chemistry 003
Lab 02: Braden M 3:05 - 4:20 PM Old Chemistry 003
Lab 03: Justin M 4:40 - 5:55 PM Reuben-Cooke 129

Instructional team
Instructor   Yue Jiang W 10 - 11; 2 - 3 Old Chemistry 207A
Teaching Assistant   Ben Thorpe M 10 - 12 Zoom ID 329 164 5131
Teaching Assistant   Bethany Astor W 8 - 10 (AM) Old Chem 025
Teaching Assistant   Braden Scherting M 9 - 11 Old Chemistry 203B
Teaching Assistant   Donald Cayton Th 12 - 2 Old Chem 203B
Teaching Assistant   Justin Weltz T 8 - 10 (AM) Old Chem 025
Teaching Assistant   Jennifer Kampe F 1 - 3 Old Chem 203B
Header: The image in the header of this site is from Carl Friedrich Gauss' 1809 manuscript Theoria motus corporum coelestium in sectionibus conicis solem ambientium. In the second volume of this work, Gauss details the method of least squares, which he had previously used to accurately predict the orbit of Ceres, whose orbit had been "lost" when its apparent position vanished in the glare of the sun.