4 classes matched your search criteria.
STAT 5302 is also offered in Spring 2025
STAT 5302 is also offered in Fall 2024
STAT 5302 is also offered in Spring 2024
STAT 5302 is also offered in Fall 2023
STAT 5302 is also offered in Summer 2023
STAT 5302 is also offered in Spring 2023
STAT 5302 is also offered in Fall 2022
STAT 5302 is also offered in Fall 2021
Fall 2023 | STAT 5302 Section 001: Applied Regression Analysis (17363)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
- Online Course
- Enrollment Requirements:
- Exclude fr or soph 5000 level courses
- Times and Locations:
- Regular Academic Session09/05/2023 - 12/13/2023Mon, Wed, Fri 01:25PM - 02:15PMUMTC, East BankKenneth H Keller Hall 3-115
- Enrollment Status:
- Open (26 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/17363/1239
Fall 2023 | STAT 5302 Section 002: Applied Regression Analysis (32762)
- Instructor(s)
- Hung-Da Wen (TA)
- Class Component:
- Discussion
- Class Attributes:
- Online Course
- Times and Locations:
- Regular Academic Session09/05/2023 - 12/13/2023Thu 11:15AM - 12:05PMUMTC, East BankKenneth H Keller Hall 3-115
- Auto Enrolls With:
- Section 001
- Enrollment Status:
- Open (26 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/32762/1239
Fall 2023 | STAT 5302 Section 883: Applied Regression Analysis (21226)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- UNITE Distributed Learning
- Enrollment Requirements:
- Exclude fr or soph 5000 level courses
- Times and Locations:
- Regular Academic Session09/05/2023 - 12/13/2023Mon, Wed, Fri 01:25PM - 02:15PMOff CampusUMN REMOTE
- Enrollment Status:
- Closed (1 of 0 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 Notes:
- REGISTRATION FOR THIS SECTION IS PROCESSED THROUGH UNITE DISTRIBUTED LEARNING, NOT ONESTOP. CONTACT THE UNITE OFFICE IF YOU WANT TO BE REGISTERED IN THIS SECTION. See UNITE schedules at www.unite.umn.edu to view all courses offered through UNITE this semester and enroll for UNITE sections using the Registration Forms on that web site. UNITE is an educational office within the College of Science and Engineering. Students may enroll in UNITE sections of courses, with an additional UNITE fee of $100 per credit. All exams must be proctored by UNITE-approved proctor if taken off-campus. Course lectures are streamed live and available with same-day access to downloadable video and audio and streaming video archives. Questions - call 612-624-2332 or send a note to unite@umn.edu
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/21226/1239
Fall 2023 | STAT 5302 Section 884: Applied Regression Analysis (32984)
- Instructor(s)
- Hung-Da Wen (TA)
- Class Component:
- Discussion
- Class Attributes:
- UNITE Distributed Learning
- Times and Locations:
- Regular Academic Session09/05/2023 - 12/13/2023Thu 11:15AM - 12:05PMOff CampusUMN REMOTE
- Auto Enrolls With:
- Section 883
- Enrollment Status:
- Closed (1 of 0 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 Notes:
- REGISTRATION FOR THIS SECTION IS PROCESSED THROUGH UNITE DISTRIBUTED LEARNING, NOT ONESTOP. CONTACT THE UNITE OFFICE IF YOU WANT TO BE REGISTERED IN THIS SECTION. See UNITE schedules at www.unite.umn.edu to view all courses offered through UNITE this semester and enroll for UNITE sections using the Registration Forms on that web site. UNITE is an educational office within the College of Science and Engineering. Students may enroll in UNITE sections of courses, with an additional UNITE fee of $100 per credit. All exams must be proctored by UNITE-approved proctor if taken off-campus. Course lectures are streamed live and available with same-day access to downloadable video and audio and streaming video archives. Questions - call 612-624-2332 or send a note to unite@umn.edu
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/32984/1239
ClassInfo Links - Fall 2023 Statistics Classes
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If you have questions about specific courses, we strongly encourage you to contact the department where the course resides.