IBM Water System SPSS COMPLEX SAMPLES 19 Instrukcja Użytkownika Pobierz pdf (Strona 205)

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Complex Samples Logistic Regression

What constitutes a “good” R

value varies between different areas of application. While these

statistics can be suggestive on their own, they are most useful when comparing competing models

for the same data. The model with the largest R

statistic is “ best” according to this measure.

Classification

Figure 20-7

Classification table

The classiﬁcation table shows the practical results of using the logistic regression model. For each

case, the predicted response is Ye s if that case’s model-predicted logit is greater than 0. Cases are

weighted by ﬁnalweight, so that the classiﬁcation table reports the expected model performance in

the population.

 Cells on the diagonal are correct predictions.

 Cells off the diagonal are incorrect predictions.

Based upon the cases used to create the model, you can expect to correctly classify 85.5% o f the

nondefaulters in the population using this model. Likewise, you can expect to correctly classify

60.9% of the defaulters. Overall, you can expect to classify 76.5% of the cases correctly; however,

because this table was constructed with the cases used to create the model, these estimates are

likely to be overly optimistic.

Tests of Model Effects

Figure 20-8

Tests of between-subjects effects

1 2 ... 200 201 202 203 204 205 206 207 208 209 210 ... 287 288

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IBM Water System SPSS COMPLEX SAMPLES 19 Instrukcja Użytkownika Strona 205