PUBPOL 3100

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

PUBPOL 3100
Multiple Regression Analysis

Course information provided by the 2026-2027 Catalog.

Introduces basic econometric principles and the use of statistical procedures in empirical studies of economic models. Discusses assumptions, properties, and problems encountered in the use of multiple regression procedures. Students are required to specify, estimate, and report the results of an empirical model.


Prerequisites PUBPOL 2101 OR ECON 3110 OR ECON 3130 OR SOC 3010, OR equivalent.

Forbidden Overlaps AEM 4110, AEM 5111, ECON 3120, ECON 3140, GDEV 3550, GDEV 5550 and PUBPOL 3100

Enrollment Information Enrollment limited to: undergraduate students.

Distribution Requirements (SBA-AG), (SBA-HE)

Last 4 Terms Offered 2026SP, 2025SP, 2024SP, 2023SP

Learning Outcomes

  • Describe the Multiple Regression Analysis tool.
  • Explain how the Multiple Regression Analysis tool works and what it can be used for.
  • Use the Multiple Regression Analysis tool to analyze real-world relationships.
  • Evaluate how other researchers have used the Multiple Regression Analysis tool.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Graded

  • 12981 PUBPOL 3100   LEC 001

  •  
    • MW
    • Jan 25 - Apr 4, 2027

    • Alan, S

    • MW
    • Apr 5 - Apr 18, 2027

    • Alan, S

    • MW
    • Apr 19 - May 11, 2027

    • Alan, S

  • Instruction Mode: Hybrid-Online and In Person

    Enrollment limited to: Brooks School undergraduate students.

  • 12982 PUBPOL 3100   DIS 201

  •  
    • F
    • Jan 25 - May 11, 2027

    • Alan, S

  • Instruction Mode: In Person

  • 12983 PUBPOL 3100   DIS 202

  •  
    • F
    • Jan 25 - May 11, 2027

    • Alan, S

  • Instruction Mode: In Person

  • 12984 PUBPOL 3100   DIS 203

  •  
    • F
    • Jan 25 - May 11, 2027

    • Alan, S

  • Instruction Mode: In Person

  • 12985 PUBPOL 3100   DIS 204

  •  
    • F
    • Jan 25 - May 11, 2027

    • Alan, S

  • Instruction Mode: In Person