2D Categorized Half-Normal Probability Plots
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.
See also, Graphs
- Categorized Normal Probability Plots.