Applied Linear Regression For Business Analytics With R A Practical Guide To Data Science With Case Studies Daniel P Mcgibney by Daniel P. Mcgibney 9783031214790, 303121479X instant download after payment.

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.
This book stresses the practical usage of regression analysis, making it applicable to data sets encountered in everyday business. Specifically, while traditional books contain excessive theories and mathematical formulas, they can overwhelm business students without advanced mathematical knowledge. On the contrary, some books that stress intuitive lessons often omit the coding components, which prevents students from understanding the process. As such, to equip business students with an understanding of the basic principles needed to apply regression analysis without extensive and complex mathematical knowledge, this book blends theory and application by engaging students with worked-through real-life examples accompanied by detailed coding. Learning through relevant business cases is inevitable in today’s business world. To that end, numerous practical applications and exercises are available in this book, allowing students to quickly apply complex math to the data sets they collect.