ILRST 2130

ILRST 2130

Course information provided by the Courses of Study 2020-2021.

This seven week, two-credit class will cover the regression requirements, hypothesis tests, and interpretation of results. Students will learn to identify the data necessary to perform a regression analysis, evaluate the conditions, and apply the statistical tests. Interpretation of overall results and specific predictions will be made. Independent projects by each student will be done. These will consist of identifying an issue of interest, a relevant data set, and analysis using the regression methods. These projects have ranged from movie budgets and revenues to air pollution data and traffic. Presentation of the results in verbal and written form will be required. Recommended for students who want to develop applied analysis skills.

When Offered Fall (weeks 1-7), Spring (weeks 1-7).

Prerequisites/Corequisites Prerequisite: ILRST 2100 or equivalent.

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Syllabi:
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 13722 ILRST 2130   LEC 001

    • TR Online Meeting
    • Sep 2 - Oct 20, 2020
    • Karns, M

  • Instruction Mode: Online
    Introductory Statistics or Instructor Approval.

Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits GradeNoAud

  • 19398 ILRST 2130   LEC 002

    • TR Online Meeting
    • Oct 21 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online
    Introductory Statistics or Instructor Approval.