An experiment was performed on metal ingots that were prepared with different heating and soaking times and then tested for readiness to roll. See Cox and Snell (1989). The data are contained in the sample data table. In this example, the Fit Model platform fits the probability of the Ready response using a logistic regression model with regressors heat and soak.
Select Help > Sample Data Library and open
The values of the categorical variable ready, Ready and Not Ready, indicate whether an ingot is ready to roll.
Select Analyze > Fit Model.
Select ready and click Y.
Because ready is a Nominal column with only two levels, the Target Level option appears. This option enables you to specify the response level whose probability you want to model. In this model, the Target Level is Ready, so you are modeling the probability of the Ready response.
Select heat and soak and click Add.
Select count and click Freq.
Click Run.
Nominal Logistic Fit Report
In the Whole Model Test report, the chi-square statistic (11.64) has a small p-value (0.0030), which indicates that the overall model is significant. However, the parameter estimate for soak has a p-value of 0.8639, which indicates that soaking time might not be important.

Help created on 9/19/2017