Course Detail

Applied Regression Analysis (41100)

Course Description by Faculty

  • Farrell, Max
  • Content
    BUS 41100 is a course about regression, a powerful and widely used data analysis technique. Students will learn how to use regression by analyzing a variety of real world problems. Heavy emphasis will be placed on analysis of actual datasets. Topics covered include: simple and multiple regression, prediction, variable selection, causal inference, residual diagnostics, classification (logistic regression), and time series (auto-regression), and introductory machine learning. Latest information is always here:
  • Prerequisites
    Bus 41000 or familiarity with topics covered therein. This course is only for students with solid background in statistics and preferably some prior exposure to linear regression.
  • Grades
    Based on assignments, a midterm exam, a final exam, and course project.
  • Syllabus
  • Autumn 2021Section: 41100-01M 8:30AM-11:30AMHarper CenterC04In-Person Only
  • Autumn 2021Section: 41100-02W 8:30AM-11:30AMHarper CenterC04In-Person Only
  • Autumn 2021Section: 41100-81W 6:00PM-9:00PMGleacher Center204Dual Modality
    Faculty In-Person
Description and/or course criteria last updated: June 29 2021