10 Pages Posted: 17 May 2013
Date Written: May 2013
Uncertainty in regression can be efficiently and effectively communicated using the visual properties of statistical objects in a regression display. Altering the "visual weight" of lines and shapes to depict the quality of information represented clearly communicates statistical confidence, even when readers are unfamiliar with the formal and abstract definitions of statistical uncertainty. Here we present examples where the color saturation, contrast of regression lines, and confidence intervals are parametrized by local measures of an estimate's variance. The results are simple, visually intuitive, and graphically compact displays of statistical uncertainty. This approach is generalizable to almost all forms of regression.
Keywords: regression, data visualization, statistics
JEL Classification: C10, C88
Suggested Citation: Suggested Citation