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.
| ISBN-13: | 9783031214790 |
| ISBN-10: | 303121479X |
| Publisher: | Springer International Publishing |
| Publication date: | 2023-06-03 |
| Edition description: | 1st ed. 2023 |
| Pages: | 276 |
| Product dimensions: | Height: 9.21 Inches, Length: 6.14 Inches, Weight: 1.34922904344 Pounds, Width: 0.69 Inches |
| Author: | Daniel P. McGibney |
| Language: | en |
| Binding: | Hardcover |
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