Logistic Regression

[DataSet3]

Case Processing Summary
Unweighted Cases^a		N	Percent
Selected Cases	Included in Analysis	30	100.0
	Missing Cases	0	.0
	Total	30	100.0
Unselected Cases		0	.0
Total		30	100.0
a. If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding
Original Value	Internal Value
No Violation	0
Violation	1

Categorical Variables Codings
		Frequency	Parameter coding
		Frequency	(1)	(2)	(3)	(4)
prior	None	6	1.000	.000	.000	.000
	Fine/Probation	6	.000	1.000	.000	.000
	Reform School	6	.000	.000	1.000	.000
	Jail	6	.000	.000	.000	1.000
	Penitentiary	6	.000	.000	.000	.000
prsnpnsh	None	10	1.000	.000
	1-2 Times	10	.000	1.000
	3 or More	10	.000	.000

Block 0: Beginning Block

Classification Table^a,b
	Observed		Predicted
			prlvlt		Percentage Correct
			No Violation	Violation
Step 0	prlvlt	No Violation	2167	0	100.0
		Violation	796	0	.0
	Overall Percentage				73.1
a. Constant is included in the model.
b. The cut value is .500

Variables not in the Equation
			Score	df	Sig.
Step 0	Variables	prsnpnsh	53.879	2	.000
		prsnpnsh(1)	53.513	1	.000
		prsnpnsh(2)	22.877	1	.000
		prior	87.198	4	.000
		prior(1)	69.575	1	.000
		prior(2)	.003	1	.955
		prior(3)	36.753	1	.000
		prior(4)	13.866	1	.000
	Overall Statistics		119.873	6	.000

Omnibus Tests of Model Coefficients
		Chi-square	df	Sig.
Step 1	Step	116.396	6	.000
	Block	116.396	6	.000
	Model	116.396	6	.000

Model Summary
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square
1	3331.992^a	.039	.056
a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.

Variables in the Equation
		B	S.E.	Wald	df	Sig.	Exp(B)
Step 1^a	prsnpnsh			33.057	2	.000
	prsnpnsh(1)	-.502	.119	17.787	1	.000	.605
	prsnpnsh(2)	-.010	.131	.005	1	.942	.990
	prior			64.476	4	.000
	prior(1)	-.825	.172	22.971	1	.000	.438
	prior(2)	-.606	.214	7.978	1	.005	.546
	prior(3)	-.012	.197	.004	1	.952	.988
	prior(4)	-.225	.199	1.276	1	.259	.798
	Constant	-.127	.182	.488	1	.485	.880
a. Variable(s) entered on step 1: prsnpnsh, prior.

Omnibus Tests of Model Coefficients
		Chi-square	df	Sig.
Step 1	Step	6.089	8	.637
	Block	6.089	8	.637
	Model	122.485	14	.000

Model Summary
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square
1	3325.902^a	.040	.059
a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.

Variables in the Equation
		B	S.E.	Wald	df	Sig.	Exp(B)
Step 1^a	prsnpnsh			1.820	2	.403
	prsnpnsh(1)	-.492	.400	1.513	1	.219	.611
	prsnpnsh(2)	-.113	.432	.069	1	.793	.893
	prior			8.116	4	.087
	prior(1)	-.785	.352	4.965	1	.026	.456
	prior(2)	-.460	.445	1.064	1	.302	.632
	prior(3)	-.165	.392	.176	1	.675	.848
	prior(4)	-.411	.409	1.011	1	.315	.663
	prior * prsnpnsh			6.042	8	.642
	prior(1) by prsnpnsh(1)	-.052	.435	.015	1	.904	.949
	prior(1) by prsnpnsh(2)	-.063	.473	.018	1	.894	.939
	prior(2) by prsnpnsh(1)	-.253	.546	.215	1	.643	.776
	prior(2) by prsnpnsh(2)	-.064	.593	.012	1	.913	.938
	prior(3) by prsnpnsh(1)	-.054	.494	.012	1	.912	.947
	prior(3) by prsnpnsh(2)	.561	.530	1.119	1	.290	1.752
	prior(4) by prsnpnsh(1)	.207	.505	.168	1	.682	1.230
	prior(4) by prsnpnsh(2)	.277	.543	.261	1	.609	1.320
	Constant	-.100	.317	.100	1	.752	.905
a. Variable(s) entered on step 1: prior * prsnpnsh .

[DataSet3]

[DataSet3]

Model Information
Dependent Variable	prlvlt^a
Probability Distribution	Binomial
Link Function	Logit
a. The procedure models Violation as the response, treating No Violation as the reference category.

Categorical Variable Information
			N	Percent	Unweighted N
Dependent Variable	prlvlt	No Violation	2167	73.1%	15
		Violation	796	26.9%	15
		Total	2963	100.0%	30
Factor	prsnpnsh	None	1827	61.7%	10
		1-2 Times	710	24.0%	10
		3 or More	426	14.4%	10
		Total	2963	100.0%	30
	prior	None	1883	63.6%	6
		Fine/Probation	262	8.8%	6
		Reform School	331	11.2%	6
		Jail	327	11.0%	6
		Penitentiary	160	5.4%	6
		Total	2963	100.0%	30

Goodness of Fit^b
	Value	df	Value/df
Deviance	6.089	8	.761
Scaled Deviance	6.089	8
Pearson Chi-Square	6.073	8	.759
Scaled Pearson Chi-Square	6.073	8
Log Likelihood^a	-1.666E3
Akaike's Information Criterion (AIC)	3.346E3
Finite Sample Corrected AIC (AICC)	3.346E3
Bayesian Information Criterion (BIC)	3.388E3
Consistent AIC (CAIC)	3.395E3
Dependent Variable: prlvlt Model: (Intercept), prsnpnsh, prior
a. The full log likelihood function is displayed and used in computing information criteria.
b. Information criteria are in small-is-better form.

Omnibus Test^a
Likelihood Ratio Chi-Square	df	Sig.
116.396	6	.000
Dependent Variable: prlvlt Model: (Intercept), prsnpnsh, prior
a. Compares the fitted model against the intercept-only model.

Tests of Model Effects
Source	Type III
Source	Wald Chi-Square	df	Sig.
(Intercept)	121.359	1	.000
prsnpnsh	33.057	2	.000
prior	64.476	4	.000
Dependent Variable: prlvlt Model: (Intercept), prsnpnsh, prior

Parameter Estimates
Parameter	B	Std. Error	95% Wald Confidence Interval		Hypothesis Test
Parameter	B	Std. Error	Lower	Upper	Wald Chi-Square	df	Sig.
(Intercept)	-.127	.1824	-.485	.230	.488	1	.485
[prsnpnsh=0]	-.502	.1190	-.735	-.269	17.787	1	.000
[prsnpnsh=1]	-.010	.1308	-.266	.247	.005	1	.942
[prsnpnsh=2]	0^a	.	.	.	.	.	.
[prior=0]	-.825	.1722	-1.163	-.488	22.971	1	.000
[prior=1]	-.606	.2144	-1.026	-.185	7.978	1	.005
[prior=2]	-.012	.1972	-.398	.375	.004	1	.952
[prior=3]	-.225	.1994	-.616	.166	1.276	1	.259
[prior=4]	0^a	.	.	.	.	.	.
(Scale)	1^b
Dependent Variable: prlvlt Model: (Intercept), prsnpnsh, prior
a. Set to zero because this parameter is redundant.
b. Fixed at the displayed value.