Applied Linear Regression for Business Analytics with R
Download or Read eBook Applied Linear Regression for Business Analytics with R PDF written by Daniel P. McGibney and published by Springer Nature. This book was released on 2023-07-04 with total page 286 pages. Available in PDF, EPUB and Kindle.
Author | : Daniel P. McGibney |
Publisher | : Springer Nature |
Total Pages | : 286 |
Release | : 2023-07-04 |
ISBN-10 | : 9783031214806 |
ISBN-13 | : 3031214803 |
Rating | : 4/5 (06 Downloads) |
Book Synopsis Applied Linear Regression for Business Analytics with R by : Daniel P. McGibney
Book excerpt: Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.