https://bugs.kde.org/show_bug.cgi?id=420540
--- Comment #1 from disu...@disroot.org --- The primary reason for examining any residual plot is to see whether the rough is rough enough or whether it contains additional smooth. Data = Fit + Residual Data = Smooth + Rough As John Tukey explained: "Here the fit is our current description --always incomplete, always approximate--of the overall behavior of the data. Each individual observation is split up into a sum of this fit and what is left over, called a residual. Residuals are our main tool in going further. They are to the data analyst what powerful magnifying glasses, sensitive chemical tests for bloodstains, and delicate listening devices are to a story-book detective. They permeate all sorts of data analysis and appear in many guises. [...] For us the most useful plot will be one that might reveal the unexpected or the unobvious. Sometimes a plot "in the large" will do this. Usually, however, it is the plot of residuals that has the greatest use and the greatest impact." -- You are receiving this mail because: You are watching all bug changes.
