STA 210: Regression Analysis
Learn approaches for analyzing multivariate data sets, emphasizing analysis of variance, linear regression, and logistic regression. Learn techniques for checking the appropriateness of proposed models, such as residual analyses and case influence diagnostics, and techniques for selecting models. Gain experience dealing with the challenges that arise in practice through assignments that utilize real-world data. This class emphasizes data analysis over mathematical theory.
Course info
Lecture All Students Tue and Thu 10:15a - 11:30a
Labs Lab 01 Mon 12p - 1:15p
Lab 02 Mon 1:45p - 3p
Lab 03 Mon 5:15p - 6:30p
Lab 04 Asynchronous
Join live lectures, labs, and office hours using the Zoom links in Sakai.
Click on the schedule tab to keep up with all activities and assignments.
Teaching team and office hours
Instructor Prof. Maria Tackett Wed 10a - 12p
TAs Martha Aboagye Wed 6p - 8p
Betsy Bersson Fri 8a - 10a
Meredith Brown Tue 4:30p - 6:30p
Cody Coombs Wed 1p - 3p
Sophie Dalldorf Thu 3:30p - 5:30p
Joseph Lawson Thu 6p - 8p
Ezinne Nwankwo Mon 10a - 12p
Sophie Riegel Tue 8a - 10a

Office hours are a time for you to meet with a member of the teaching team to ask questions about content, assignments, or anything else related to the course. Join using the Zoom link in Sakai.

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