Modeling and Multivariate Methods - SAS

Chapter 3 Fitting Standard Least Squares Models 65
Estimates
Table 3.8 Description of Estimates Options (Continued)
Cox Mixtures
Parameter Power
Correlation of
Estimates
Note: Appears only for mixture models.
Produces parameter estimates from which inference can be made about
factor effects and the response surface shape, relative to a reference point in
the design space. See “Cox Mixtures” on page 73.
Calculates statistical power and other details relating to a given hypothesis
test. The results appear in the Parameter Estimates report. See “Parameter
Power” on page 75.
Produces a correlation matrix for all coefficients in a model. See “Correlation
of Estimates” on page 81.
Show Prediction Expression
The Show Prediction Expression shows the equation used to predict the response.
Example of a Prediction Expression
1. Open the Drug.jmp sample data table.
2. Select Analyze > Fit Model.
3. Select y and click Y.
4. Select Drug and x. Click Add.
5. Click Run.
6. From the red triangle menu next to Response, select Estimates > Show Prediction Expression.
Figure 3.4 Prediction Expression
Sorted Estimates
The Sorted Estimates option produces a different version of the Parameter Estimates report that is more
useful in screening situations. This version of the report is especially useful if the design is saturated, since
typical reports are less informative.