Creates a new column in the current data table called Predicted colname where colname is the name of the Y variable. This column includes the prediction formula and the computed sample predicted values. The prediction formula computes values automatically for rows that you add to the table. This option is not available for the Fit Each Value and Density Ellipse fits and is dimmed on those menus.
Note: You can use the Save Predicteds and Save Residuals commands for each fit. If you use these commands multiple times or with a grouping variable, it is best to rename the resulting columns in the data table to reflect each fit.


Creates a new column in the current data table called Residuals colname where colname is the name of the Y variable. Each value is the difference between the actual (observed) value and its predicted value. Unlike the Save Predicteds command, this command does not create a formula in the new column. This option is not available for the Fit Each Value and Density Ellipse fits and is dimmed on those menus.
Note: You can use the Save Predicteds and Save Residuals commands for each fit. If you use these commands multiple times or with a grouping variable, it is best to rename the resulting columns in the data table to reflect each fit.


Removes the fit from the graph and removes its text report.


Draws the same curves as the Confid Curves Fit command and shades the area between the curves.


Draws the same curves as the Confid Curves Indiv command and shades the area between the curves.


Saves the spline coefficients as a new data table, with columns called X, A, B, C, and D. The X column gives the knot points. A, B, C, and D are the intercept, linear, quadratic, and cubic coefficients of the thirddegree polynomial. These coefficients span from the corresponding value in the X column to the next highest value.


Displays a slider for each variable, where you can change the kernel standard deviation that defines the range of X and Y values for determining the density of contour lines.


The Plot Residuals option creates residual plots and other plots to diagnose the model fit. The following plots are available: