Modeling and Multivariate Methods - SAS

66 Fitting Standard Least Squares Models Chapter 3
Estimates
Example of a Sorted Estimates Report
1. Open the Reactor.jmp sample data table.
2. Select Analyze > Fit Model.
3. Select Y and click Y.
4. Make sure that the Degree box has a 2 in it.
5. Select F, Ct, A, T, and Cn and click Macros > Factorial to Degree.
6. Click Run.
Figure 3.5 Sorted Parameter Estimates
The Sorted Parameter Estimates report also appears automatically if the Emphasis is set to Effect
Screening and all of the effects have only one parameter.
Note the following differences between this report and the Parameter Estimates report:
• This report does not show the intercept.
• The effects are sorted by the absolute value of the t-ratio, showing the most significant effects at the top.
• A bar chart shows the t-ratio, with lines showing the 0.05 significance level.
• If JMP cannot obtain standard errors for the estimates, relative standard errors appear.
• If there are no degrees of freedom for residual error, JMP constructs t-ratios and p-values using Lenth’s
Pseudo-Standard Error (PSE). These quantities are labeled with Pseudo in their name. A note explains
the change and shows the PSE. To calculate p-values, JMP uses a degrees of freedom for error of m/3,
where m is the number of parameter estimates excluding the intercept.
Expanded Estimates
Use the Expanded Estimates option when there are nominal terms in the model and you want to see the
full set of coefficients.