Guide to Multiple Regression
1st Edition
Published on 30. December 2025
240 pages
978-1-040-59371-4 (ISBN)
Description
This book is intended to equip the reader with concept knowledge on multilinear regression methods, and develop technical skills while solving problems with the R programming language. The goal is not to become an expert in both directions. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods.
Basics in inferential statistics and basics in a programming language are necessary prerequisites to engage well with the content. We believe that using a computer is the only practical means of performing a linear or multilinear regression on a data set of even moderate size. Therefore, our purpose is to make these connections between theory, technology, and applications, as clear as possible.
Features
Focused summaries of the main statistical methods, followed by solved questions
Integration of R as a calculator, and as a programming language in solving each question with ease and accuracy
Use of simple coding that illustrates the connection to the theory
Suggest progressively alternative codes
Visualization and interpretation of the R outputs
Basics in inferential statistics and basics in a programming language are necessary prerequisites to engage well with the content. We believe that using a computer is the only practical means of performing a linear or multilinear regression on a data set of even moderate size. Therefore, our purpose is to make these connections between theory, technology, and applications, as clear as possible.
Features
Focused summaries of the main statistical methods, followed by solved questions
Integration of R as a calculator, and as a programming language in solving each question with ease and accuracy
Use of simple coding that illustrates the connection to the theory
Suggest progressively alternative codes
Visualization and interpretation of the R outputs
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
12 Tables, black and white; 35 Line drawings, color; 1 Line drawings, black and white; 35 Illustrations, color; 1 Illustrations, black and white
File size
8,87 MB
ISBN-13
978-1-040-59371-4 (9781040593714)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Samia Challal
Guide to Multiple Regression
Book
approx. 12/2025
1st Edition
CRC Press
€111.80
Not yet published
Person
Samia Challal is an associate professor at Glendon College; the bilingual campus of York University. She teaches courses in Analysis, Algebra, and Statistics. Her research draws on partial differential equations applied to fluid dynamics, optimization, homogenization problems, and mathematics education. She received her PhD from the University of Metz, France.
Content
List of Figures List of Tables Preface 1 Simple linear probabilistic model 2 Multi-linear regression 3 Non-Basic Regression Appendix: Q-Q plot Appendix: Residual Plots Bibliography Index
