Multivariate Adaptive Regression Splines (MARSplines) Startup Panel

Ribbon bar. Select the Data Mining tab. In the Trees/Partitioning group, click MARSplines to display the Multivariate Adaptive Regression Splines Startup Panel.

Classic menus. On the Data Mining menu, select MARSplines (Multivariate Adaptive Regression Splines) to display the Multivariate Adaptive Regression Splines Startup Panel.

The Startup Panel contains two tabs: Quick and Options.

Element Name Description
OK Click the OK button to begin the MARSplines analysis, fit the model, and display the Results dialog box.
Cancel Click the Cancel button to close the MARSplines Startup Panel without performing an analysis.
Options See Options Menu for descriptions of the commands on this menu.
Open Data Click the Open Data button to display the Select Data Source dialog box, which contains options to choose the spreadsheet on which to perform the analysis. The Select Data Source dialog box contains a list of the spreadsheets that are currently active
Select Cases Click the Select Cases button to display the Analysis/Graph Case Selection Conditions dialog box, which contains options to create conditions for which cases will be included (or excluded) in the current analysis. More information is available in the case selection conditions overview, syntax summary, and dialog box description.
W Click the W (Weight) button to display the Analysis/Graph Case Weights dialog box, which contains options to adjust the contribution of individual cases to the outcome of the current analysis by "weighting" those cases in proportion to the values of a selected variable. Note that case weights are treated as simple case multipliers in the MARSplines computations.
MD deletion Missing data can be deleted Casewise or substituted by means (Mean substitution) depending on the option selection in the MD deletion group box.
Casewise Select the Casewise option button to include only the cases that do not contain any missing data for any of the selected variables in the analysis.
Mean substitution Select the Mean substitution option button to replace missing data by the means for the respective variables (for this analysis only, not in the data file).