MATH 739 (M1) - Applied Regression Analysis

Applied Regression Analysis

Manchester   Engineering&Physical Sciences :: Mathematics&Statistics
Credits: 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14772
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.
Attributes: Writing Intensive Course

Times & Locations

Start Date End Date Days Time Location
8/28/2023 12/11/2023 T 5:40pm - 8:30pm PANDRA P146