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STAT 311 - Regression Analysis
Spring 2020, Section 01

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
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000657 STAT 311 01 Regression Analysis
01/16 - 04/30
Th
1:00pm - 4:20pm
4.0 Open Fox, Terrance
Location: z MnSCU Metropolitan State University
Building/Room: LIBRARY 321


Meeting Details
DatesDaysTimeBuilding/RoomInstructor
1/16/2020 - 4/30/2020 Th 1:00pm - 4:20pm LIBRARY 321 Fox, Terrance

Notes
  • Note: First day attendance required except by instructor permission.

Location Details
Offered through: Metropolitan State University.
Campus: Metropolitan State University. Location: z MnSCU Metropolitan State University.

Seat Availability
Status: Open Size: 24 Enrolled: 15 Seats Remaining: 9

Prerequisites (Courses and Tests)
[STAT 201 - Statistics I AND STAT 252 - Statistics Programming; OR , DATA 211 - Data Science and Visualization]
Restrictions
  • Requires minimum credits: 30

Add/Drop/Withdraw
Full refund is available until January 17, 2020, 11:59PM CST.
The last day to add this course is January 19, 2020. The last day to drop this course is January 17, 2020.
The last day to withdraw from this course is April 13, 2020.

Tuition and Fees (Approximate)

Tuition and Fees (approximate):

Tuition -resident: $937.44
Tuition -nonresident: $1,912.64
Approximate Course Fees: $144.44

Course Level
Undergraduate

General/Liberal Education Category
Upper Division Liberal Studies

Minnesota Transfer Curriculum Goal
Goal 04 - Mathematical/Logical Reasoning
  • Illustrate historical and contemporary applications of mathematical/logical systems.
  • Clearly express mathematical/logical ideas in writing.
  • Explain what constitutes a valid mathematical/logical argument(proof).
  • Apply higher-order problem-solving and/or modeling strategies.

Description
This course covers fundamental to intermediate regression analysis. The course builds on the ideas of hypothesis testing learned in STAT201 (Statistics I). The focus is on learning new statistical skills and concepts for real-world applications. Students will use statistical software to do the analyses. Topics include simple and bivariate linear regression, residual analysis, multiple linear model building, logistic regression, the general linear model, analysis of covariance, and analysis of time series data. Completion of STAT201 (Statistics I) is a prerequisite.

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