BTRY 6020

BTRY 6020

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

Continuation of BTRY 6010. Emphasizes the use of multiple regression analysis, analysis of variance, and related techniques to analyze data in a variety of situations. Topics include an introduction to data collection techniques; least squares estimation; multiple regression; model selection techniques; detection of influential points, goodness-of-fit criteria; principles of experimental design; analysis of variance for a number of designs, including multi-way factorial, nested, and split plot designs; comparing two or more regression lines; and analysis of covariance. Emphasizes appropriate design of studies before data collection, and the appropriate application and interpretation of statistical techniques. Practical applications are implemented using a modern, widely available statistical package.

When Offered Spring.

Permission Note Enrollment limited to: graduate students or permission of instructor.
Prerequisites/Corequisites Prerequisite: BTRY 6010 or equivalent.

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  •  1108BTRY 6020  LEC 001

    • MWOnline Meeting
    • Feb 8 - May 14, 2021
    • Guinness, J

  • Instruction Mode: Online
    Prerequisite: BTRY 6010 or equivalent. Enrollment limited to: graduate students or permission of instructor.

  •  1109BTRY 6020  LAB 401

    • MOnline Meeting
    • Feb 8 - May 14, 2021
    • Guinness, J

  • Instruction Mode: Online

  •  1110BTRY 6020  LAB 402

    • TOnline Meeting
    • Feb 8 - May 14, 2021
    • Guinness, J

  • Instruction Mode: Online