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Автор: Daniel P. McGibney
Издательство: Springer
Год: 2023
Страниц: 286
Язык: английский
Формат: pdf
Размер: 10.1 MB
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. In modern statistics, the fundamental concepts of linear regression have changed little over the past decades. More work has been done to develop and expand on these existing concepts, and regression continues to be an active area of research. Today, many linear regression methods are broadly considered Machine Learning or, even more broadly, Artificial Intelligence. Traditional linear regression analysis can be used to make predictions and inferential understanding.