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STAT 311 - Regression Analysis
Fall 2017, Section 01

ID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
000793 STAT 311 01 Regression Analysis
08/23 - 12/06
W
6:00pm - 9:20pm
4.0 Open Jacobson, David
Location: z MnSCU Metropolitan State University
Building/Room: LIBRARY 132


Meeting Details
DatesDaysTimeBuilding/RoomInstructor
8/23/2017 - 12/6/2017 W 6:00pm - 9:20pm LIBRARY 132 Jacobson, David

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

Seat Availability
Status: Open Size: 24 Enrolled: 23 Seats Remaining: 1

Prerequisites (Courses and Tests)
[STAT 201 - Statistics I]
Restrictions
  • Requires minimum credits: 30

Add/Drop/Withdraw
Full refund is available until August 27, 2017, 11:59PM CST.
Adding course is closed. Dropping course is closed.
The last day to withdraw from this course is November 20, 2017.

Tuition and Fees (Approximate)

Tuition and Fees (approximate):

Tuition -resident: $910.12
Tuition -nonresident: $1,856.92
Approximate Course Fees: $137.88

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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