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 |
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 |