MATH 739 (1SY) - Applied Regression Analysis

Applied Regression Analysis

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 14329
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. Prereq: MATH 539 (or 644). Writing intensive.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course, Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Michelle Capozzoli

Times & Locations

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