6 classes matched your search criteria.

Spring 2023  |  STAT 3032 Section 001: Regression and Correlated Data (53984)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Times and Locations:
Regular Academic Session
 
01/17/2023 - 05/01/2023
Mon, Wed, Fri 11:15AM - 12:05PM
UMTC, East Bank
Lind Hall L125
Enrollment Status:
Open (66 of 70 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/53984/1233

Spring 2023  |  STAT 3032 Section 002: Regression and Correlated Data (53985)

Instructor(s)
Class Component:
Discussion
Times and Locations:
Regular Academic Session
 
01/17/2023 - 05/01/2023
Tue 10:10AM - 11:00AM
UMTC, West Bank
Mechanical Engineering 321
Auto Enrolls With:
Section 001
Enrollment Status:
Open (27 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/53985/1233

Spring 2023  |  STAT 3032 Section 003: Regression and Correlated Data (53986)

Instructor(s)
Class Component:
Discussion
Times and Locations:
Regular Academic Session
 
01/17/2023 - 05/01/2023
Tue 11:15AM - 12:05PM
UMTC, West Bank
Ford Hall 110
Auto Enrolls With:
Section 001
Enrollment Status:
Open (39 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 Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/53986/1233

Spring 2023  |  STAT 3032 Section 004: Regression and Correlated Data (53987)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Times and Locations:
Regular Academic Session
 
01/17/2023 - 05/01/2023
Mon, Wed, Fri 02:30PM - 03:20PM
UMTC, East Bank
Nicholson Hall 125
Enrollment Status:
Open (61 of 70 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/53987/1233

Spring 2023  |  STAT 3032 Section 005: Regression and Correlated Data (53988)

Instructor(s)
Yuan Lu (TA)
Class Component:
Discussion
Times and Locations:
Regular Academic Session
 
01/17/2023 - 05/01/2023
Tue 12:20PM - 01:10PM
UMTC, East Bank
Ford Hall 130
Auto Enrolls With:
Section 004
Enrollment Status:
Open (28 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/53988/1233

Spring 2023  |  STAT 3032 Section 006: Regression and Correlated Data (53989)

Instructor(s)
Class Component:
Discussion
Times and Locations:
Regular Academic Session
 
01/17/2023 - 05/01/2023
Tue 02:30PM - 03:20PM
UMTC, East Bank
Mechanical Engineering 321
Auto Enrolls With:
Section 004
Enrollment Status:
Open (33 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/53989/1233

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