Mitchell M Interpreting and Visualizing Regress Models 2ed 2021 torrent

Textbook in PDF format

This book illustrates how to interpret and visualize the results of regression models using an example-based approach. The way we interpret the effect of a predictor depends on the nature of the predictor. For example, the strategy we use to interpret and visualize the contribution of a linear continuous predictor is different from focusing on, say, the interaction of two categorical variables.
The first three parts of this book illustrate how to interpret the results of linear regression models, classifying examples based on whether the predictors are continuous, categorical, or continuous by categorical interactions. Part I of the book focuses on the interpretation of continuous predictors, including two-way and threeway interactions of continuous predictors. Part II focuses on the interpretation of categorical predictors, including two-way interactions and three-way interactions. Part III focuses on the interpretation of interactions that combine continuous and categorical predictors. The examples from parts I to III focus on linear models (for example, models fit using the regress or anova commands). The first three parts of the book are described in more detail below