To interpret a normal probability plot, look at where your data point falls on the x-axis (the horizontal line). If it’s above the mean, then it means that there’s too much variation in your ...

Unlike Q-Q and probability plots, P-P plots are not invariant to changes in location and scale. See CAPPP2 in the SAS/QC Sample Library For example, the data in the "Getting Started" section are ...

Q-Q plots are more convenient than probability plots for graphical estimation of the location and scale parameters since the x-axis of a Q-Q plot is scaled linearly. On the other hand, probability ...

(Back to top) Here is an example of a plot for a pair of standardised level 2 residuals from a repeated measures data set: The x-axis refers to intercept residuals and the y-axis to slope residuals.