MATH 839 (01) - Applied Regression Analysis

Applied Regression Analysis

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 10238
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
8/28/2023 12/11/2023 MWF 8:10am - 9:30am KING S320