1. Below is the example SVM regression analysis result dialog using Statistica sample dataset Poverty.sta. TAX_RATE is one of the multiple independent variables for SVM regression. PT_POOR is the dependent variable. 

2. Click on "Plots" tab in the SVM result dialog, Select "TAX_RATE" as x-axis, "Predicted" as Y-axis, and Click on "Graphs of X and Y" to generate the 2D X-Y scatterplot.

3. Explanations of the data "Predicted" used as Y-axis:

Predicted PT_POOR is computed for each sample case of original dataset using the produced SVM regression model substituted with the observed values of the independent variables for that sample case. 

Below is the original dataset with an extra column "PT_POOR Predicted" added. Above 2D scatterplot simply take the "TAX_RATE" and "PT_POOR Predicted" columns and draw a X-Y scatterplot. If you draw plots of other independent variables vs. PT_POOR predicted, e.g. N_EMPLD or PT_PHONE, the same "PT_POOR predicted" column is used. 

The method of setting mean or special values for other independent variables to calculate predicted dependent variable, does not apply here.