One of the most versatile regression diagnostic methods is to plot the residuals r i against the predictors (x i, r i) and the predicted values (ŷ i, r i) ().When noise assumptions are met, these ...

xkcd #2048 is exceptionally relevant to this. Doing linear regression well with a big dataset is difficult! I do this all the time at work and honestly I often show a scatter plot without any ...

This post will show how to estimate and interpret linear regression models with survey data using R. We’ll use data taken from a Pew Research Center 2016 post-election survey, ... We can use R’s plot ...

Added-variable plots are useful for a variety of data-analytic purposes but can be seriously misleading when used to investigate curvature and predictor transformations in linear regression, unless ...