Classification Table
a
30 3
90.9 27
33 55.0
67.7 Observed
Baik Kurang Baik
Pemanfaatan Pelayanan
Overall Percentage Step 1
Baik Kurang Baik
Pemanfaatan Pelayanan Percentage
Correct Predicted
The cut value is .500 a.
Variables in the Equation
2.503 .659
14.438 1
.000 12.222
-2.609 .803
10.548 1
.001 .074
KpTotK Constant
Step 1
a
B S.E.
Wald df
Sig. ExpB
Variables entered on s tep 1: KpTotK. a.
Logistic Regression
Classification Table
a,b
33 .0
60 100.0
64.5 Observed
Baik Kurang Baik
Pemanfaatan Pelayanan
Overall Percentage Step 0
Baik Kurang Baik
Pemanfaatan Pelayanan Percentage
Correct Predicted
Constant is included in the model. a.
The cut value is .500 b.
Va riables in the Equa tion
.598 .217
7.609 1
.006 1.818
Constant St ep 0
B S. E.
W ald df
Sig. Ex pB
Universitas Sumatera Utara
Variables not in the Equation
23.354 1
.000 23.354
1 .000
KtTotK Variables
Overall Statistics Step 0
Score df
Sig.
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
24.357 1
.000 24.357
1 .000
24.357 1
.000 Step
Block Model
Step 1 Chi-square
df Sig.
M o d e l Su m m a r y
9 6 .6 1 5
a
.2 3 0 .3 1 7
S te p 1
-2 L o g l ik e l i h o o d
C o x S n e l l R S q u a re
N a g e l ke rke R S q u a re
E s ti m a tio n te rm i n a te d a t ite ra ti o n n u m b e r p a ra m e te r e s tim a te s c h a n g e d b y le s s th a
a .
Classification Table
a
26 7
78.8 16
44 73.3
75.3 Observed
Baik Kurang Baik
Pemanfaatan Pelayanan
Overall Percentage Step 1
Baik Kurang Baik
Pemanfaatan Pelayanan Percentage
Correct Predicted
The cut value is .500 a.
Variables in the Equation
2.324 .516
20.259 1
.000 10.214
-2.809 .755
13.860 1
.000 .060
KtTotK Constant
Step 1
a
B S.E.
Wald df
Sig. ExpB
Variables entered on s tep 1: KtTotK. a.
Universitas Sumatera Utara
Logistic Regression
Classification Table
a,b
33 .0
60 100.0
64.5 Observed
Baik Kurang Baik
Pemanfaatan Pelayanan
Overall Percentage Step 0
Baik Kurang Baik
Pemanfaatan Pelayanan Percentage
Correct Predicted
Constant is included in the model. a.
The cut value is .500 b.
Va riables in the Equa tion
.598 .217
7.609 1
.006 1.818
Constant St ep 0
B S. E.
W ald df
Sig. Ex pB
Va riables not in the Equa tion
25.778 1
.000 25.778
1 .000
KdTotK Variables
Overall Statistic s St ep 0
Sc ore df
Sig.
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
26.527 1
.000 26.527
1 .000
26.527 1
.000 Step
Block Model
Step 1 Chi-square
df Sig.
M o de l Sum m ar y
94 .4 46
a
.248 .341
Ste p 1
-2 Log likeliho od
Cox Snell R Squa re
Nagelkerke R Squa re
Es tima tion termin ated at iteration n umber 4 be cau pa rameter e stimates ch ang ed by less tha n .0 01.
a.
Universitas Sumatera Utara
Classification Table
a
25 8
75.8 13
47 78.3
77.4 Observed
Baik Kurang Baik
Pemanfaatan Pelayanan
Overall Percentage Step 1
Baik Kurang Baik
Pemanfaatan Pelayanan Percentage
Correct Predicted
The cut value is .500 a.
Variables in the Equation
2.425 .513
22.336 1
.000 11.298
-3.079 .784
15.436 1
.000 .046
KdTotK Constant
Step 1
a
B S.E.
Wald df
Sig. ExpB
Variables entered on s tep 1: KdTotK. a.
Universitas Sumatera Utara
Lampiran 6 : Analisis Multivariat
Hasil Analisis Multivariat Logistic Regression
[DataSet1] C:\Documents and Settings\Anisatullaila\Desktop\Master Data.sav
Case Processing Summary
93 100.0
.0 93
100.0 .0
93 100.0
Unweighted Cases
a
Included in Anal ysis Mis sing Cases
Total Selected Cases
Unselected Cas es Total
N Percent
If weight is in effect, s ee class ification table for the total number of cases.
