Applied Regression Analysis
Durham
Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:
10
CRN: 13534
CRN: 13534
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.
Cross listed with : MATH 839.02
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course
Instructors: STAFF
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/28/2023 | 12/11/2023 | MWF | 8:10am - 9:30am | ONLINE |