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

Lectures

  Old Chem 116      Mon and Wed 10:05a - 11:20a

Labs

Lab 01      Soc Sci 311      Fri 11:45a - 1p

Lab 02      Soc Sci 311      Fri 1:25p - 2:40p

Teaching team and office hours

Instructor Prof. Maria Tackett   Tues 10:30a - 12p Old Chem 118B
TAs Anna Darwish   Mon 3p - 5p Old Chem 203B
Matty Pahren   Wed 12:30p - 2:30p Old Chem 203B
Ethan Shen   Thur 4:30p - 6:30p Old Chem 203B
Abbas Zaidi   Mon 5p - 7p Old Chem 203B

Texts

All texts are freely available online. Hardcopies are also available for purchase.

An Introduction to Statistical Learning James, Witten, Hastie, Tibshirani Springer, 1st edition, 2013
R for Data Science Grolemund, Wickham O'Reilly, 1st edition, 2016

Materials

You should bring a fully-charged laptop to every lecture and lab session.