Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies

By Daniel P. McGibney

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.

• Format: Hardcover
• Language: English
• ISBN: 303121479X
• ISBN13: 9783031214790
• Release Date: June 2023
• Publisher: Springer
• Length: 276 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"