GLM, GRM, and ANOVA More Results - Residuals 2 Tab

Select the Residuals 2 tab of the GLM More Results or the ANOVA More Results dialog boxes to access options to plot any of the predicted or residual values computed by GLM, along with the variable values for any variable in the current data file (e.g., a common application would be to compute partial correlation plots via the Scatterplot of selected X vs. Y option (see below), by selecting the raw residual values and a variable from the data file that is not in the current model). If a type of predicted or residual value is selected for a plot, a plot will be produced for all Dependent variables that are selected (see below).

Dependent variables

Click the Dependent variables button to display a standard variable selection dialog box where you can select a subset of the dependent variables for the residual statistics. The predicted and residual values are computed for the dependent variables for the analysis, any within-subject (repeated measures) factors are disregarded.

Sample

Select the respective option button in the Sample group box to specify which type of sample to base the predicted and residual statistics. You can display and plot predicted and residual values for all observations that were used to compute the current results (select Analysis), all observations that were not used to compute the current results, but have valid data for all predictor and dependent variables (select Cross-validation), all observations in both the analysis sample and the cross-validation sample (select Both), or all cases that have valid data for the predictor variables, but missing data for at least one dependent variable (select Pred). If these options are not available, no valid cases in the Prediction sample were found, and/or no Cross-validation sample was specified on the Quick Specs Dialog - Options tab, or via the SAMPLE keyword in the GLM Analysis Syntax Editor.

X ( var/pred/res)

For plots requiring a single variable (e.g., histograms), select the respective type of predicted value, residual value, or variable in the X ( var/pred/res) list.

Y (var/pred/res)

For plots requiring two variables (e.g., scatterplots), select an additional type of predicted value, residual value, or variable in the Y (var/pred/res) list.

Z (var/pred/res)

For plots requiring three variables (e.g., surface plots), also make a selection from the Z (var/pred/res) list.

Histogram of selected X (variable, predicted, or residual value)

Click the Histogram of selected X button to produce a histogram for the variable, type of predicted values, or residual values, as selected in the X (var/pred/res) list.

Probab. plot of selected X.

Click the Probab. plot of selected X button to produce a normal probability plot for the variable, type of predicted values, or residual values, as selected in the X (var/pred/res) list.

Half-normal

Click the Half-normal button to produce a half-normal probability plot for the variable, type of predicted values, or residual values, as selected in the X (var/pred/res) list. If the Plot absolute values check box is selected on the Residuals 1 tab (next to the Half-normal button), the respective absolute values will be plotted.

Detrended

Click the Detrended button to produce a detrended normal probability plot for the variable, type of predicted values, or residual values, as selected in the X (var/pred/res) list.

Scatterplot of selected X vs. Y (var., pred., or res. value).

, pred., or res. value). Click the Scatterplot of selected X vs. Y button to produce a 2D scatterplot for the variables, types of predicted values, or residual value as selected in the X (var/pred/res) and Y (var/pred/res) lists.

Surface plot of selected X, Y, & Z (var., pred., or res. value).

, or res. value). Click the Surface plot of selected X, Y, & Z button to produce a 3D Surface Plot for the variables, type of predicted values, or residual values, as selected in the X (var/pred/res), Y (var/pred/res), and Z (var/pred/res) lists. The plot will show the raw data points for the plot, and the fitted quadratic surface, if a quadratic surface can be fitted to the data.