4 classes matched your search criteria.
STAT 3032 is also offered in Spring 2025
STAT 3032 is also offered in Fall 2024
STAT 3032 is also offered in Spring 2024
STAT 3032 is also offered in Fall 2023
STAT 3032 is also offered in Summer 2023
STAT 3032 is also offered in Spring 2023
STAT 3032 is also offered in Fall 2022
STAT 3032 is also offered in Summer 2022
STAT 3032 is also offered in Spring 2022
STAT 3032 is also offered in Fall 2021
STAT 3032 is also offered in Summer 2021
Summer 2019 | STAT 3032 Section 001: Regression and Correlated Data (83013)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Meets With:
- STAT 5302 Section 001
- Times and Locations:
- Regular Academic Session06/10/2019 - 08/02/2019Mon, Tue, Wed, Thu 01:25PM - 03:20PMUMTC, East BankKenneth H Keller Hall 3-125
- Enrollment Status:
- Open (25 of 35 seats filled)
- Also Offered:
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/83013/1195
Summer 2019 | STAT 3032 Section 002: Regression and Correlated Data (83014)
- Instructor(s)
- Oh-Ran Kwon (TA)
- Class Component:
- Laboratory
- Times and Locations:
- Regular Academic Session06/10/2019 - 08/02/2019Fri 01:25PM - 03:20PMUMTC, East BankKenneth H Keller Hall 3-125
- Auto Enrolls With:
- Section 001
- Enrollment Status:
- Open (25 of 35 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/83014/1195
Summer 2019 | STAT 3032 Section 883: Regression and Correlated Data (87644)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- UNITE Distributed Learning
- Times and Locations:
- Regular Academic Session06/10/2019 - 08/02/2019Mon, Tue, Wed, Thu 01:25PM - 03:20PMOff CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Closed (8 of 0 seats filled)
- Also Offered:
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Notes:
- REGISTRATION FOR THIS SECTION IS PROCESSED THROUGH UNITE DISTRIBUTED LEARNING, NOT ONESTOP. 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/87644/1195
Summer 2019 | STAT 3032 Section 884: Regression and Correlated Data (87645)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
- UNITE Distributed Learning
- Times and Locations:
- Regular Academic Session06/10/2019 - 08/02/2019Fri 01:25PM - 03:20PMOff CampusVirtual Rooms ONLINEONLY
- Auto Enrolls With:
- Section 883
- Enrollment Status:
- Closed (8 of 0 seats filled)
- Course Catalog Description:
- This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R. prereq: STAT 3011 or STAT 3021
- Class Notes:
- REGISTRATION FOR THIS SECTION IS PROCESSED THROUGH UNITE DISTRIBUTED LEARNING, NOT ONESTOP. 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/87645/1195
ClassInfo Links - Summer 2019 Statistics Classes
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