Modeling and Multivariate Methods - SAS

312 Fitting Dispersion Effects with the Loglinear Variance Model Chapter 12
Profiling the Fitted Model
9. Click OK.
Figure 12.6 Residual by Dispersion Effect
In this plot it is easy to see the variance go up as the Hold Time increases. This is done by treating Hold Time
as a nominal factor.
Profiling the Fitted Model
Use the Profiler, Contour Profiler, or Surface Profiler to gain further insight into the fitted model. To
select a profiler option, click on the red triangle menu next to Loglinear Variance Fit and select one of the
options under the Profilers menu.
Example of Profiling the Fitted Model
For example, suppose that the goal was to find the factor settings that achieved a target of 31 for the
response, but at the smallest variance. Fit the models and choose Profiler from the report menu. For
example, Figure 12.7 shows the Profiler set up to match a target value for a mean and to minimize variance.
1. Open the InjectionMolding.jmp sample data table.
2. Select Analyze > Fit Model.
Since the variables in the data table have preselected roles assigned to them, the launch window is
already filled out.
3. Click Run.
4. From the red triangle menu next to Loglinear Variance Fit, select Profilers > Profiler.
5. From the red triangle menu next to Prediction Profiler, select Prediction Intervals.