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Modeling and Multivariate Methods - SAS

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Chapter 7 Performing Logistic Regression on Nominal <strong>and</strong> Ordinal Responses 225<br />

Example of a Quadratic Ordinal Logistic Model<br />

Figure 7.25 Ordinal Logistic Fit for Salt in Popcorn.jmp<br />

The distance between each curve measures the probability of each of the five response levels. The probability<br />

for the highest response level is the distance from the top curve to the top of the plot rectangle. This distance<br />

reaches a maximum when the amount of salt is about 1.3 teaspoons. All curves share the same critical point.<br />

The parameter estimates for Salt <strong>and</strong> Salt*Salt become the coefficients used to find the critical value.<br />

Although it appears as a minimum, it is only a minimum with respect to the probability curves. It is really a<br />

maximum in the sense of maximizing the probability of the highest response. The Solution portion of the<br />

report is shown under Response Surface in Figure 7.25, where 1.29 is shown under Critical Value.

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