Applied linear regression for business analytics with R : a practical guide to data science with case studies / Daniel P. McGibney.

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Applied linear regression for business analytics with R : a practical guide to data science with case studies / Daniel P. McGibney.

9783031214806 (electronic bk.)
3031214803 (electronic bk.)
303121479X
9783031214790

Cham, Switzerland : Springer, [2023]

English

1 online resource.

10.1007/978-3-031-21480-6 doi

HD30.2 .M34 2023

650.0285

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.

Includes bibliographical references.

Access limited to authorized users.

Description based on online resource; title from digital title page (viewed on July 18, 2023).

International series in operations research & management science ; 337.

Print version: 9783031214790

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