Workspace Node: Nonlinear Estimation - Results - Quick Tab

In the Nonlinear Estimation node dialog box, under the Specifications heading, select the Quick tab to access the following options.

Element Name Description
Summary: Parameter estimates Select this check box to create a spreadsheet containing the parameter estimates for the current model. Summary statistics for the current analysis will be displayed in the spreadsheet header.
Note: If the Asymptotic standard errors check box was selected on the Specifications - Advance tab, the Summary: Parameter estimates check box is replaced by the Summary: Parameters & standard errors check box. Select this check box to produce a spreadsheet containing the parameter estimates for the current model as well as the (asymptotic) standard errors of the parameter estimates, the respective t-values (parameters divided by standard errors), and the associated p-values.
Logistic Regression Several additional summary statistics are displayed in the spreadsheet when logistic regression is performed. Odds ratios are displayed for each parameter estimate for a unit change in the predictor variable and for a change equal to the observed range of values of the predictor variable. If the Asymptotic standard errors check box was selected on the Specifications - Advanced tab, the spreadsheet will also show Wald's Chi-square statistics and associated p-values for testing the significance of the parameters. Upper and lower confidence limits for the parameter estimates and the odds ratios will also be displayed. These confidence limits are computed using the Alpha value specified in the Confidence intervals for parameter estimates box on the Results - Advanced tab.
Observed, predicted, residual vals Select this check box to produce a spreadsheet containing the residual values (i.e., observed values minus predicted values).
Fitted 2D function & observed vals Select this check box to create a two-dimensional graph of the observed values. This plot enables a two-dimensional visual examination (i.e., qualitative evaluation) of the fit of the data to the model. It is useful for identification of outliers, which can then be marked in the Data Editor using the Brushing Tool button.
Fitted 3D function & observed values Select this check box to create a three-dimensional graph with the observed values. This plot enables a three-dimensional visual examination (i.e., qualitative evaluation) of the fit of the data to the model. It is useful for identification of outliers, which can then be marked in the Data Editor using the Brushing Tool button.

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.