PLAD 8310

Regression Analysis

Course Description

This course introduces regression analysis in political science. It covers linear regression, the ordinary least squares (OLS) estimator, interpretation of results, and regression diagnostics. The course also introduces generalized linear models (GLMs), maximum likelihood estimation (MLE), and regression analysis with binary outcomes. A separate section of the course focuses on implementation of regression analysis in R programming language.


  • Kirill Zhirkov

     Rating

     Difficulty

     GPA

    3.83

     Sections

    2

    Last Taught

    Spring 2025

  • To Announced

     Rating

     Difficulty

     GPA

     Sections

    2

    Last Taught

    Spring 2025

  • Shawna Metzger

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2021

  • Jonathan Kropko

     Rating

     Difficulty

     GPA

    3.84

     Sections

    Last Taught

    Spring 2019

  • Shawn Treier

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2013

  • Jee Park

     Rating

     Difficulty

     GPA

    3.75

     Sections

    Last Taught

    Spring 2012

  • Michele Claibourn

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2010