Regression Analysis

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