<p>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 Matlab 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.</p>
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