Modeling and Multivariate Methods - SAS

210 Performing Logistic Regression on Nominal and Ordinal Responses Chapter 7
Logistic Fit Platform Options
Figure 7.12 Inverse Prediction Plot
However, if you have another regressor variable (Soak), you must use the Fit Model platform, as follows:
1. From the Ingots.jmp sample data table, select Analyze > Fit Model.
2. Select ready and click Y.
3. Select heat and soak and click Add.
4. Select count and click Freq.
5. Click Run.
6. From the red triangle next to Nominal Logistic Fit, select Inverse Prediction.
Then the Inverse Prediction command displays the Inverse Prediction window shown in Figure 7.13, for
requesting the probability of obtaining a given value for one independent variable. To complete the dialog,
click and type values in the editable X and Probability columns. Enter a value for a single X (heat or soak)
and the probabilities that you want for the prediction. Set the remaining independent variable to missing by
clicking in its X field and deleting. The missing regressor is the value that it will predict.