Interpreting and visualizing regression models using stata second edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models including over 200 figures the book illustrates linear models with continuous predictors modeled linearly using polynomials and piecewise interactions of continuous predictors categorical predictors interactions of categorical predictors and interactions of continuous and categorical . Interpreting and visualizing regression models using stata second edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models including over 200 figures the book illustrates linear models with continuous predictors modeled linearly using polynomials and piecewise interactions of continuous predictors categorical predictors interactions of categorical predictors and interactions of continuous and categorical predictors . Michael mitchells interpreting and visualizing regression models using stata second edition is a clear treatment of how to carefully present results from model fitting in a wide variety of settings it is a boon to anyone who has to present the tangible meaning of a complex model clearly regardless of the audience as an example many experienced researchers start to squirm when asked to give a simple explanation of the practical meaning of interactions in nonlinear models such as . Linear models o for nonlinear models such as logistic regression the raw coefficients are often not of much interest what we want to see for interpretation are effects on outcomes such as probabilities instead of log odds o stata has a number of handy commands such as margins marginsplot contrast for making sense of regression results and for visualizing such results