STAT 3220

Introduction to Regression Analysis

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Course Description

Pre-Requisite(s): A prior course in statistics
Discipline(s): Quantification, Computation & Data Analysis

This course provides a survey of regression analysis techniques, covering topics from simple regression, multiple regression, logistic regression, and analysis of variance. The primary focus is on model development and applications.


  • Paul Diver

     Rating

     Difficulty

     GPA

    3.85

     Sections

    Last Taught

    Spring 2012

  • Krista Varanyak

     Rating

    2.77

     Difficulty

    2.46

     GPA

    3.80

     Sections

    3

    Last Taught

    Spring 2026

  • Xiaoxiao Tang

     Rating

     Difficulty

     GPA

    3.49

     Sections

    Last Taught

    Spring 2012

  • Tingting Zhang

     Rating

     Difficulty

     GPA

    3.36

     Sections

    Last Taught

    Fall 2012

  • Gretchen Martinet

     Rating

    4.67

     Difficulty

    2.25

     GPA

    3.10

     Sections

    Last Taught

    Spring 2017

  • Gretchen Falk

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2011