Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis

By James V Stone

Linear regression is the workhorse of data analysis. It is the first step, and often the only step, in fitting a simple model to data. This brief book explains the essential mathematics required to understand and apply regression analysis. The tutorial style of writing, accompanied by over 30 diagrams, offers a visually intuitive account of linear regression, including a brief overview of nonlinear and Bayesian regression. Hands-on experience is provided in the form of numerical examples, implemented online with Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book is an ideal introduction to regression analysis.

• Format: Paperback
• Language: English
• ISBN: 1916279198
• ISBN13: 9781916279193
• Release Date: January 2022
• Publisher: Sebtel Press
• Length: 128 Pages
• Weight: 0.40 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"