Applied Regression Analysis
Durham
Engineering&Physical Sciences::Mathematics&Statistics
Online Course Delivery Method:
Online Synchronous
Credits: 4.0
Class Size: 5
Term:
Fall 2024
-
Full Term (08/26/2024
-
12/09/2024)
CRN:
12904
Grade Mode:
Letter Grading
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis and model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross Listed With :
MATH 839 (02)
Prerequisite(s): MATH 539 or MATH 644
Classes not allowed in section: Freshman, Sophomore
Instructors:
Pei Geng
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 8/26/2024 | 12/9/2024 | MWF | 8:10am - 9:30am | ONLINE |
Booklist
| Book | Details |
|---|---|
|
APPLIED LIN.REGRESS.MODELS-REVISED W/CD
4TH 04
by KUTNER
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