Model Browser User's Guide

Global Scatter Plots

The upper plots in the global level view are referred to as scatter plots. They can show various scatter plots of statistics for assessing goodness-of-fit for the current model shown.

The statistics available for plotting are model dependent.

The preceding are the context menus for both plots. On both plots you can manipulate outliers with all the same commands available in the Outliers menu except Outlier Selection Criteria. See Outliers Menu (Local Level) for details.

You can choose the x- and y-axis factors using the drop-down menus. The available statistics and factors are model dependent. Following is an example.

Shown is an example drop-down menu on the scatter plot for changing x and y factors. In this example knot is the response feature node selected. Therefore the model output is knot, so knot and Predicted knot are available in the menu. (For child nodes of knot, the model output is still knot.) The global inputs, the model output, and the predicted model output are always available in these menus. The observation number is also always available.

The other options are statistics that are model dependent, and can include: Residuals, weighted residuals, Studentized Residuals, Leverage, and Cook's Distance. These statistics and the other factors are also used as the available criteria for selection of outliers, so the options in the Outlier Selection Criteria dialog are similarly model dependent.

Global Special Plots

Global Level: Toolbar