Nonlinear Least Squares Results  Quick Tab
Purpose of Nonlinear Estimation
Select the Quick tab of the
Nonlinear Least Squares Results
dialog box to access the options described here.
Summary:
Parameter estimates. Click the Summary:
Parameter estimates button to create a spreadsheet with the parameter
estimates for the current model. Summary statistics for the current analysis
will be displayed in the spreadsheet header.
Predicted
values, Residuals, etc. Click the Predicted
values, Residuals, etc. button to produce a spreadsheet containing
the predicted values and residuals.
Iteration history.
Click the Iteration history button
to create a spreadsheet containing the history of the iteration process.
Analysis of variance.
Click the Analysis of variance
button to produce a spreadsheet containing an ANOVA table with the following
quantities:
Source 
df 
Sum of Squares 
Mean Squares 
Fvalue 
Regression 
n 
SSR = σY2i
 g(θ*) 
MSR = SSR/n 
MSR/MSE 
Residual 
mn 
SSE = g(θ*) 
MSE = SSE/(mn) 

Total 
m 
SST = σY2i 


Corrected Total 
m1 
SSCT = Var(Y ) 
MSRCT = SSCT/M1 

Regression vs. Corrected 
n 
SSR = σY2i
 g(θ*) 
MSR = SSR/n 
MSR /MSRCT 
For most models, the test in the last line of the ANOVA table will be
of greatest interest, because it evaluates the statistical significance
of the improvement in the prediction of dependent variable values, over
the trivial prediction of the mean (for the dependent variable).