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

Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis book cover

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

Author(s): James V Stone (Author)

  • Publisher: Sebtel Press
  • Publication Date: 13 Jan. 2022
  • Language: English
  • Print length: 138 pages
  • ISBN-10: 191627918X
  • ISBN-13: 9781916279186

Book Description

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, included as Python code at the end of each chapter, and implemented online as Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book provides an ideal introduction to regression analysis.

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