You can use the Output Variables tab to add analysis variables to the data table. (See FigureĀ 23.13.) If you request a plot that uses one of the output variables, then that variable is automatically created even if you did not explicitly select the variable on the Output Variables tab.
The following list describes each output variable and indicates how the output variable is named. Y represents the name of the response variable. If you use events/trials syntax, then Y represents the name of the events variable.
adds a variable named Proportion_
, where E is the name if the events variable and T is the name of the trials variable. The value of the variable is the ratio . This variable is added only when you use events/trials syntax.
adds predicted probabilities. The variable is named LogiP_
Y.
adds 95% confidence limits for the predicted probabilities. The variables are named LogiLclm_
Y and LogiUclm_
Y.
adds the linear predictor values. The variable is named LogiXBeta_
Y.
adds the Pearson chi-square residuals. The variable is named LogiChiSqR_
Y.
adds the deviance residuals. The variable is named LogiDevR_
Y.
adds the confidence interval displacement diagnostic, C. The variable is named LogiC_
Y.
adds the confidence interval displacement diagnostic, . The variable is named LogiCBar_
Y.
adds the leverage statistic. The variable is named LogiH_
Y.
adds the change in the chi-square goodness-of-fit statistic that is attributed to deleting the individual observation. The
variable is named LogiDifChiSq_
Y.
adds the change in the deviance that is attributed to deleting the individual observation. The variable is named LogiDifDev_
Y.
adds m variables, where m is the number of parameters in the model. The variables are scaled measures of the change in each parameter estimate and
are calculated by deleting the ith observation. Large probabilities of DFBETAS indicate observations that are influential in estimating a given parameter.
The variables are named DFBETA_
X, where X is the name of an interval regressor (including the intercept). For classification variables, the variables are named DFBETA
_, where C is the name of the variable and L represents a level.