* Starts from the basics, focusing less on proofs and the high-level math underlying regressions, and adopts an engaging tone to provide a text which is entirely accessible to students who don't have a stats background
* New chapter on integrity and ethics in regression analysis
* Each chapter offers boxed examples, stories, exercises and clear summaries, all of which are designed to support student learning
* Optional appendix of statistical tools, providing a primer to readers who need it
* Code in R and Stata, and data sets and exercises in Stata and CSV, to allow students to practice running their own regressions
* Author-created videos on YouTube
* PPT lecture slides and test bank for instructors
