You can use the Plots tab to create plots that graphically display results of the analysis. (See FigureĀ 25.3.) These plots do not add any variables to the data table.
The following plots are available:
creates a bar chart that shows the Pearson correlation between pairs of variables.
creates a matrix of scatter plots
that shows bivariate data for pairs of variables. If you do not specify any X variables in the list on the Variables tab, then you will get a lower triangular array of plots. If you do specify X variables, then you will get a rectangular
array of plots. The inset added to each plot contains the following:
the Pearson correlation coefficient
the number of nonmissing observations for each pair of variables
the p-value under the null hypothesis of zero correlation
adds a prediction ellipse
to the scatter plot. The ellipse is calculated under the assumption that the data are bivariate normal. A prediction ellipse
is a region for predicting a new observation in the population. It also approximates a region that contains a specified percentage
of the population.
specifies that the background of each scatter plot be shaded according to a nested family of prediction ellipses.