BSDS 372 - Linear Regression

Unit(s): 4

This course introduces students to modeling the relationship between a response variable and several explanatory variables via linear regression models. Topics include simple and multiple linear regression, the method of least squares for estimation, hypothesis testing and prediction, model diagnostics, outlier detection, variable selection, nonlinear regression and other methods. Students will use the statistical software R to implement the key methods introduced in this course.

Prerequisite: (MATH 371 with a minimum grade of C- or BSDS 371 with a minimum grade of C-) and MATH 230 with a minimum grade of C-
College of Arts & Sciences