Applied Linear Regression for Business Analytics with R - A Practical Guide to Data Science with Case Studies (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	International Series in Operations Research & Management Science, 337
Release date:	June 2023
First published:	2023
Authors:	Daniel P. McGibney
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	276
Edition:	1st ed. 2023
ISBN-13:	978-3-03-121479-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	3-03-121479-X
Barcode:	9783031214790

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