Modeling and Multivariate Methods - SAS

Chapter 9 Performing Nonlinear Regression 251
Nonlinear Fitting with Fit Curve
Fit Curve Report
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:
Model Comparison The Model Comparison report shows fit statistics used for comparing multiple
models (Figure 9.5). The statistics are AICc, AICc Weight, BIC, SSE, MSE, RMSE, and R-Square. See
the “Comparing Model Performance” chapter on page 627 for more information about comparing
models.
Figure 9.5 Model Comparison Report
Model Reports A report is created for each fitted model. Each model report has a red triangle menu with
additional options. See “Model Options” on page 252.
Prediction Model gives the algebraic form of the prediction formula and the parameters.
Summary of Fit gives the same fit statistics as the Model Comparison report.
Parameter Estimates gives the estimates of the parameters, standard errors, and confidence intervals.
The correlations and covariances of the estimates are given also.
Plot gives plots of the data with the fitted model. See Figure 9.6. The plots are shown only when a
Grouping variable is specified on the platform launch window.