MATH 739 (01) - Applied Regression Analysis

Applied Regression Analysis

Durham Engineering&Physical Sciences::Mathematics&Statistics
Credits: 4.0
Class Size: 15 
Term:  Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
CRN:  10176
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.
Prerequisite(s): MATH 539 or MATH 644
Classes not allowed in section: Freshman, Sophomore
Attributes:  Writing Intensive Course
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
ISBN
978007301466 1
PUBLISHER
MCG