9 classes matched your search criteria.

Fall 2020  |  STAT 3032 Section 001: Regression and Correlated Data (16477)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (88 of 90 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16477/1209

Fall 2020  |  STAT 3032 Section 002: Regression and Correlated Data (16478)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 001
Enrollment Status:
Open (29 of 30 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16478/1209

Fall 2020  |  STAT 3032 Section 003: Regression and Correlated Data (16479)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 001
Enrollment Status:
Open (29 of 30 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16479/1209

Fall 2020  |  STAT 3032 Section 004: Regression and Correlated Data (16708)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 001
Enrollment Status:
Closed (30 of 30 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16708/1209

Fall 2020  |  STAT 3032 Section 005: Regression and Correlated Data (16709)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (70 of 100 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16709/1209

Fall 2020  |  STAT 3032 Section 006: Regression and Correlated Data (16710)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 005
Enrollment Status:
Open (30 of 40 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16710/1209

Fall 2020  |  STAT 3032 Section 007: Regression and Correlated Data (16711)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 005
Enrollment Status:
Open (28 of 30 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16711/1209

Fall 2020  |  STAT 3032 Section 008: Regression and Correlated Data (16712)

Instructor(s)
Class Component:
Laboratory
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Auto Enrolls With:
Section 005
Enrollment Status:
Open (12 of 30 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:
This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/16712/1209

Fall 2020  |  STAT 3032 Section 301: Regression and Correlated Data (34224)

Instructor(s)
Taryn Verley (Proxy)
True Xiong (Proxy)
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (25 of 30 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:
Completely online. This section includes both Lecture and Lab in one course.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/34224/1209

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