The Fit Curve report initially contains only a plot of Y versus X (Fit Curve Reports: No Grouping Variable (left) and with Group Variable (right)). If you specify a Group variable, the report includes overlaid and individual plots for each group of the fitted model (shown in Fit Curve Reports: No Grouping Variable (left) and with Group Variable (right) on the right).
Fit Curve Reports: No Grouping Variable (left) and with Group Variable (right)
Before fitting a model, the Fit Curve report contains only a plot of Y versus X. After fitting a model, the fitted model is added to the plot (when no grouping variable is specified on the platform launch window). The report contains the following results:
To create the report shown in Model Comparison Report, select Sigmoid Curves > Logistic Curves > Fit Logistic 4P and Sigmoid Curves > Fit Gompertz 4P from the Fit Curve red triangle menu.
Model Comparison Report
Gives plots of the data with the fitted model. See Initial Model Reports for Logistic 4P Model. The plots are shown only when you select a Grouping variable on the platform launch window.
Initial Model Reports for Logistic 4P Model
Shows or hides a profiler of the fitted prediction function. The derivatives are derivatives of the prediction function with respect to the X variable. For more information about profilers, see the Profiler chapter in the Profilers book.
Save Prediction Formula saves the prediction equation.
Save Std Error of Predicted saves the standard error of the predicted values.
Save Parametric Prediction Formula saves the prediction equation in parametric form. This is helpful if you want to use the fitted model in the full personality of the Nonlinear platform.
Save Residual Formula saves the residuals.
Save Studentized Residual Formula saves the studentized residual formula, a standard residual that is divided by its estimated standard deviation.
Save First Derivative saves the derivative of the prediction function with respect to the X variable.
Save Std Error of First Derivative saves the equation of the standard error of the first derivative.
Save Inverse Prediction Formula saves the equation for predicting X from Y.
Predicts an X value for a specific Y value. For more information about inverse prediction, see the Multivariate Methods book.