Applied Regression Analysis
Durham
Engineering&Physical Sciences::Mathematics&Statistics
Credits: 3.0
Class Size: 10
Term:
Fall 2024
-
Full Term (08/26/2024
-
12/09/2024)
CRN:
10215
Grade Mode:
Letter Grading
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, introduction to analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software. Students must have completed an introductory statistics course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross Listed With :
MATH 739 (01)
Instructors:
Pei Geng
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 8/26/2024 | 12/9/2024 | MWF | 8:10am - 9:30am | KING S320 |
Booklist
| Book | Details |
|---|---|
|
APPLIED LIN.REGRESS.MODELS-REVISED W/CD
4TH 04
by KUTNER
Recommended
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