This type of graph is used to evaluate the normality of the distribution of a variable, that is, whether and to what extent the distribution of the variable follows the normal distribution. The selected variable will be plotted in a scatterplot against the values �expected from the normal distribution.�

The categorized half-normal probability plot is constructed in the same manner as the standard normal probability plot, except that only the positive half of the normal curve is considered. Consequently, only positive normal values will be plotted on the Y-axis.

This plot is used when you want to ignore the sign of the residual, that is, when you are mostly interested in the distribution of absolute residuals, regardless of the sign.