mlr1 : Multiple Linear Regression: Introduction« Back to Modules List
TitleMultiple Linear Regression: Introduction
File Size1.3 MB
DescriptionThis module was adapted from the Statistical Modeling and Data Visualization course at UMass-Amherst. This module provides materials for six to seven classes on multiple linear regression targeted for upper-level undergraduate or entry-level graduate students. Topics covered include: basic MLR notation (including matrix notation), interpretations of continuous and categorical covariates, F-testing, and confidence intervals. There is one lab included, which provides a hands-on comparison of looking at multiple tests of coefficients and of doing global F-tests.