03481nam 22007215 450 991072893420332120251008145123.03-031-21480-310.1007/978-3-031-21480-6(MiAaPQ)EBC7255389(Au-PeEL)EBL7255389(OCoLC)1381713790(DE-He213)978-3-031-21480-6(BIP)085993184(PPN)272260614(CKB)26830196500041(EXLCZ)992683019650004120230602d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies /by Daniel P. McGibney1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (286 pages)International Series in Operations Research & Management Science,2214-7934 ;337Print version: McGibney, Daniel P. Applied Linear Regression for Business Analytics with R Cham : Springer International Publishing AG,c2023 9783031214790 Includes bibliographical references.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.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.International Series in Operations Research & Management Science,2214-7934 ;337Operations researchRegression analysisBusiness information servicesBusinessData processingMathematical statisticsData processingOperations Research and Decision TheoryLinear Models and RegressionIT in BusinessBusiness AnalyticsStatistics and ComputingOperations research.Regression analysis.Business information services.BusinessData processing.Mathematical statisticsData processing.Operations Research and Decision Theory.Linear Models and Regression.IT in Business.Business Analytics.Statistics and Computing.650.0285650.0285McGibney Daniel P.1365685MiAaPQMiAaPQMiAaPQBOOK9910728934203321Applied Linear Regression for Business Analytics with R3387840UNINA