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

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

Author
Daniel P. McGibney
Publisher
Springer
Language
English
Year
2023
Page
290
ISBN
9783031214790,9783031214806
File Type
pdf
File Size
4.7 MiB

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.

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