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Chapter 10
PseudoR-square. The R2statistic from linear regression doesnot have an exact counterpart
amonglogistic regression models. Thereare, instead, multiple measures that attempt to mimic
the properties of the R2statistic.
Classificationtable. Displays the tabulated cross-classifications of the observed category by
the model-predicted category on the dependent variable.
Parameters. This group allows you to control the display of statistics relatedto the model
parameters.
Estimate. Displays estimates of the coefficients.
Exponentiatedestimate. Displays the base of the natural logarithm raised to the power of the
estimates of the coefficients. While the estimate has nice properties for statistical testing, the
exponentiated estimate, or exp(B), is easier to interpret.
Standarderror. Displaysthe standard error for each coefficient estimate.
Confidence interval. Displays a confidence interval for each coefficient estimate. The
confidence level for the interval is set in the Options dialog box.
Ttest.Displays a ttest of each coefficient estimate. Thenull hypothesis for each test is that
thevalueofthecoef��cientis 0.
Covariances of parameter estimates. Displays an estimate of the covariance matrix for the
model coefficients.
Correlationsof parameter estimates. Displays an estimate of the correlation matrix for the
model coefficients.
Designeffect. The ratioof the variance of the estimate to the variance obtained by assuming
that the sample is a simple randomsample. This is a measure of the effectof specifying a
complex design, where values further from 1 indicate greater effects.
Squareroot of design effect. This is a measure of the effect of specifying a complex design,
where values further from 1 indicate greater effects.
Summary statistics for model variables. Displays summary information about the dependent
variable, covariates, and factors.
Sample design information. Displays summary information a bout the sample, including the
unweighted count and the population size.