2D Categorized Scatterplots - Advanced Tab

Graphical Analytic Techniques

Select the Advanced tab of the 2D Categorized Scatterplots dialog to access the options described here.

Layout. Choose either a Separate plot layout (where each subset of cases is displayed in a separate small graph) or an Overlaid plot layout (where all subsets are overlaid in one graph and identified only by patterns and colors) for the categorized scatterplots.

Variables. Click the Variables button to display the standard variable selection dialog, in which you can select the X and (optional) Y grouping variables and the variable(s) to be displayed in the scatterplots. The selection that you make will then be displayed in the area of the dialog below the Variables button.

Note that the selected grouping variables do not have to be categorical variables (e.g., contain codes); you can use one of the methods of categorization to categorize continuous variables. The selection of grouping variables is not necessary if the categories are defined via the Multiple Subsets method.

Statistics. You can include a variety of statistics as footnotes in the graph by selecting one or more of the statistics listed in this group box.

R square. Select this check box to include the R square value (coefficient of determination). R square can be thought of as the percent of variation in the dependent variable that is explained by the independent variables.

Correlation and p. Select this check box to include the correlation for the plotted variables and its corresponding p-value.

Regression equation. Select this check box to include two regression equations in the footnotes. The first equation is for the y-axis variable as a function of x, the second is for the x-axis variable as a function of y.

X-Categories / Y-Categories. Select Integer mode, Unique values, or Categories to specify that method of categorization for each of the variables selected via the Change Variable button, or use the Boundaries, Codes, or Multiple subsets options. For more information about each of these methods of categorization, click on the links below:

Integer mode

Fit type. You can fit either none (select Off) or one of several equations to the data in the scatterplot by selecting one of the predefined functions in this box.

Linear

Distance Weighted LS

Polynomial

Negative Exponential Weighted LS

Logarithmic

Spline

Exponential

Lowess

Spline