2 classes matched your search criteria.

Fall 2021  |  STAT 5302 Section 001: Applied Regression Analysis (18906)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Mon, Wed, Fri 01:25PM - 02:15PM
UMTC, East Bank
Amundson Hall 124
Enrollment Status:
Open (29 of 35 seats filled)
Also Offered:
Course Catalog Description:
Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/18906/1219

Fall 2021  |  STAT 5302 Section 002: Applied Regression Analysis (18907)

Instructor(s)
He Zhou (TA)
Class Component:
Laboratory
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Thu 11:15AM - 12:05PM
UMTC, East Bank
Ford Hall B29
Auto Enrolls With:
Section 001
Enrollment Status:
Open (29 of 35 seats filled)
Course Catalog Description:
Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/18907/1219

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