Regression, a Friendly Guide
About This Book
Rudd's guide explains how regression can be used to forecast outcomes and reveal how variables relate to one another. Readers learn to construct, evaluate, and interpret both linear and logistic models. Each section introduces a new modelling approach through plain explanations and worked examples. The theory builds gradually, so that abstract regression models and the mathematics beneath them become easier to read and reason about. Early material covers linear and logistic models with one predictor or several, followed by regression for count data. Later chapters cover simulation methods for checking how a model behaves, along with more advanced techniques such as generalized additive models, penalty methods, and quantile regression. The book also shows how to explain models and findings to colleagues without a technical background, so that decisions across an organization rest on sound analysis. The print edition comes with a free eBook from Manning Publications, available in PDF, Kindle, and ePub formats.
ISBN: 9781617298950
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