MATH 739 (01) - Applied Regression Analysis

Applied Regression Analysis

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 10212
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.
You must sign up in the Dept Office before registering through WEBCAT.
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course
Instructors: Michelle Capozzoli

Times & Locations

Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 8:10am - 9:30am KING S320


Recommended Text: Montgomery, D. et al, (2012). Introduction to Linear Regression Analysis, 5th Edition. Wiley ISBN: 978-0-470-54281-1 Weisberg, S. (2014). Applied Linear Regression, fourth edition, Hoboken NJ: John Wiley. ISBN 978-1-118-38608-8