3 classes matched your search criteria.
PA 5032 is also offered in Spring 2025
PA 5032 is also offered in Spring 2024
PA 5032 is also offered in Spring 2023
PA 5032 is also offered in Spring 2022
Spring 2020 | PA 5032 Section 001: Applied Regression (57499)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
First Half of Term
Mon,
Wed 09:45AM - 11:00AM
UMTC, West Bank
Blegen Hall 130
- Enrollment Status:
Open (40 of 48 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Notes:
- http://classinfo.umn.edu/?arfertig+PA5032+Spring2020
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/57499/1203
Spring 2020 | PA 5032 Section 002: Applied Regression (57500)
- Instructor(s)
- Class Component:
- Laboratory
- Times and Locations:
First Half of Term
UMTC, West Bank
Hubert H Humphrey Center 85
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Open (16 of 24 seats filled)
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Notes:
- http://classinfo.umn.edu/?arfertig+PA5032+Spring2020
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/57500/1203
Spring 2020 | PA 5032 Section 003: Applied Regression (57521)
- Instructor(s)
- Class Component:
- Laboratory
- Times and Locations:
First Half of Term
UMTC, West Bank
Hubert H Humphrey Center 85
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Closed (24 of 24 seats filled)
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Notes:
- http://classinfo.umn.edu/?arfertig+PA5032+Spring2020
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/57521/1203
ClassInfo Links - Spring 2020 Public Affairs Classes Taught by Angie Fertig