128
ANALISIS MULTIVARIAT
Logistic Regression
Case Processing Summary
157 100.0
.0 157
100.0 .0
157 100.0
Unweighted Cases
a
Included in Analysis Missing Cases
Total Selected Cases
Unselected Cases Total
N Percent
If weight is in effect, see classification table for the total number of cases.
a.
Dependent Variable Encoding
1 Original Value
Tidak ISPA ISPA
Internal Value
Block 0: Beginning Block
Classification Table
a,b
32 .0
125 100.0
79.6 Observed
Tidak ISPA ISPA
Kejadian ISPA Pada Balita
Overall Percentage Step 0
Tidak ISPA ISPA
Kejadian ISPA Pada Balita
Percentage Correct
Predicted
Constant is included in the model. a.
The cut value is .500 b.
Variables in the Equation
1.363 .198
47.302 1
.000 3.906
Constant Step 0
B S.E.
Wald df
Sig. ExpB
Variables not in the Equation
5.939 1
.015 6.493
1 .011
7.235 1
.007 5.133
1 .023
7.808 1
.005 25.106
1 .000
4.360 1
.037 37.572
7 .000
statusgizk asi
Imun pdptnkelk
klembabnk vent
kpdtn Variables
Overall Statistics Step
Score df
Sig.
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129
Block 1: Method = Forward Stepwise Conditional
Omnibus Tests of Model Coefficients
25.180 1
.000 25.180
1 .000
25.180 1
.000 6.795
1 .009
31.976 2
.000 31.976
2 .000
5.512 1
.019 37.488
3 .000
37.488 3
.000 Step
Block Model
Step Block
Model Step
Block Model
Step 1
Step 2
Step 3 Chi-square
df Sig.
Model Summary
133.596
a
.148 .233
126.800
a
.184 .290
121.288
a
.212 .334
Step 1
2 3
-2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
a.
Classification Table
a
32 .0
125 100.0
79.6 18
14 56.3
17 108
86.4 80.3
6 26
18.8 4
121 96.8
80.9 Observed
Tidak ISPA ISPA
Kejadian ISPA Pada Balita
Overall Percentage Tidak ISPA
ISPA Kejadian ISPA
Pada Balita Overall Percentage
Tidak ISPA ISPA
Kejadian ISPA Pada Balita
Overall Percentage Step 1
Step 2
Step 3 Tidak ISPA
ISPA Kejadian ISPA Pada
Balita Percentage
Correct Predicted
The cut value is .500 a.
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130
Variables in the Equation
2.139 .470
20.687 1
.000 8.494
3.379 21.355
.392 .259
2.293 1
.130 1.480
1.209 .487
6.156 1
.013 3.349
1.289 8.702
2.258 .486
21.593 1
.000 9.560
3.689 24.774
-.095 .323
.086 1
.769 .910
1.165 .497
5.504 1
.019 3.207
1.211 8.490
1.200 .500
5.763 1
.016 3.321
1.246 8.849
2.317 .502
21.309 1
.000 10.150
3.794 27.152
-.942 .499
3.569 1
.059 .390
vent Constant
Step 1
a
pdptnkelk vent
Constant Step
2
b
asi pdptnkelk
vent Constant
Step 3
c
B S.E.
Wald df
Sig. ExpB
Lower Upper
95.0 C.I.for EXPB
Variables entered on step 1: vent. a.
Variables entered on step 2: pdptnkelk. b.
Variables entered on step 3: asi. c.
Model if Term Removed
a
-80.796 27.997
1 .000
-66.866 6.931
1 .008
-78.097 29.393
1 .000
-63.454 5.620
1 .018
-63.884 6.480
1 .011
-75.384 29.481
1 .000
Variable vent
Step 1 pdptnkelk
vent Step 2
asi pdptnkelk
vent Step 3
Model Log Likelihood
Change in -2 Log
Likelihood df
Sig. of the Change
Based on conditional parameter estimates a.
Variables not in the Equation
2.835 1
.092 6.295
1 .012
3.296 1
.069 6.486
1 .011
.423 1
.516 2.843
1 .092
14.487 6
.025 2.866
1 .090
5.790 1
.016 2.734
1 .098
.116 1
.734 1.340
1 .247
8.423 5
.134 1.346
1 .246
1.492 1
.222 .018
1 .894
.469 1
.493 2.893
4 .576
statusgizk asi
Imun pdptnkelk
klembabnk kpdtn
Variables
Overall Statistics Step
1
statusgizk asi
Imun klembabnk
kpdtn Variables
Overall Statistics Step
2
statusgizk Imun
klembabnk kpdtn
Variables
Overall Statistics Step
3 Score
df Sig.
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131
UJI INTERAKSI
Logistic Regression
Case Processing Summary
157 100.0
.0 157
100.0 .0
157 100.0
Unweighted Cases
a
Included in Analysis Missing Cases
Total Selected Cases
Unselected Cases Total
N Percent
If weight is in effect, see classification table for the total number of cases.