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Parameter estimates converged after 12 iterations.
1 Optimal solution found.
Parameter Estimates (PROBIT model: (PROBIT(p)) = Intercept + BX):
Regression Coeff. Standard Error Coeff./S.E.
CONC .22027 .01417 15.54499
Intercept Standard Error Intercept/S.E.
-1.76963 .12525 -14.12847
2 Pearson Goodness-of-Fit Chi Square = 23.223 DF = 5 P = .000
Observed and Expected Frequencies
3
Number of Observed Expected
CONC Subjects Responses Responses Residual Prob
.00 100.0 .0 3.839 -3.839 .03839
2.50 100.0 13.3 11.143 2.157 .11143
5.00 100.0 33.3 25.198 8.102 .25198
7.50 100.0 46.7 45.320 1.380 .45320
10.00 100.0 63.3 66.753 -3.453 .66753
12.50 100.0 73.3 83.739 -10.439 .83739
15.00 100.0 100.0 93.754 6.246 .93754
