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Modeling and Multivariate Methods - SAS

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

Example of an Ordinal Logistic Model<br />

Figure 7.19 Two-Factor Model<br />

The report shown in Figure 7.19 supports the conclusion that previous use of a detergent br<strong>and</strong>, <strong>and</strong> water<br />

temperature, have an effect on detergent preference, <strong>and</strong> the interaction between temperature <strong>and</strong> previous<br />

use is not statistically significant (the effect of temperature does not depend on previous use).<br />

Example of an Ordinal Logistic Model<br />

If the response variable has an ordinal modeling type, the platform fits the cumulative response probabilities<br />

to the logistic function of a linear model using maximum likelihood. Likelihood-ratio test statistics are<br />

provided for the whole model <strong>and</strong> lack of fit. Wald test statistics are provided for each effect.<br />

If there is an ordinal response <strong>and</strong> a single continuous numeric effect, the ordinal logistic platform in Fit Y<br />

by X displays a cumulative logistic probability plot.

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