Statistical Modeling

Catalog description

A calculus-based course in statistical regression models with an application in R. Topics covered include: Introduction to statistical models, simple linear regression, multiple linear regression, parameter estimation, inference in linear regression models, regression diagnostics, model selection, and multicollinearity. Prerequisites: MATH 2414 with a grade of "C" or higher.