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Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney



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Autore: McGibney Daniel P. Visualizza persona
Titolo: Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (286 pages)
Disciplina: 650.0285
Soggetto topico: Operations research
Regression analysis
Business information services
Business - Data processing
Mathematical statistics - Data processing
Operations Research and Decision Theory
Linear Models and Regression
IT in Business
Business Analytics
Statistics and Computing
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 1. Introduction -- 2. Basic Statistics and Functions using R -- 3. Regression Fundamentals -- 4. Simple Linear Regression -- 5. Multiple Regression -- 6. Estimation Intervals and Analysis of Variance -- 7. Predictor Variable Transformations -- 8. Model Diagnostics -- 9. Variable Selection.
Sommario/riassunto: 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.
Titolo autorizzato: Applied Linear Regression for Business Analytics with R  Visualizza cluster
ISBN: 3-031-21480-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910728934203321
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Serie: International Series in Operations Research & Management Science, . 2214-7934 ; ; 337