Applied Linear Regression For Business Analytics With R: A Practical Guide To Data Science With Case Studies (International Series In Operations Research & Management Science, 337)

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.

• | Author: Daniel P. Mcgibney
• | Publisher: Springer
• | Publication Date: Jun 03, 2023
• | Number of Pages: 293 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 303121479X
• | ISBN-13: 9783031214790