MATH 839 (1SY) - Applied Regression Analysis

Applied Regression Analysis

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 14332
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.
Instructors: Michelle Capozzoli

Times & Locations

Start Date End Date Days Time Location
8/29/2022 12/12/2022 MWF 8:10am - 9:30am ONLINE