Robert B. Gramacy Professor of Statistics

Applied Regression Analysis

BUS 41100 is a course about regression, a powerful and widely used data analysis technique. Students will learn how to use regression to analyze a variety of complex real world problems. Heavy emphasis will be placed on analysis of actual datasets, and implementation in the R language for statistical computing. Topics covered include: simple linear regression, multiple regression, prediction, variable selection, residual diagnostics, time series (auto-regression), and classification (logistic regression).

Notices

Homework Due at the start of lecture

Computing

The recommended language for this course is R, which can be obtained from CRAN. Other languages such as MATLAB, STATA, SAS, MINITAB, etc., are allowed but are not recommended. Examples in lecture, and help in office hours, etc., will be exclusively in R. Below are some helpful R resources: