2.B. BIVARIAT PENENTUAN KANDIDAT
METODE Logistic Regression
Case Processing Summary
80 100.0
.0 80
100.0 .0
80 100.0
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
diberikan imunisasi campak
tidak diberikan imunisasi campak
Internal Value
Block 0: Beginning Block
Classification Table
a,b
61 100.0
19 .0
76.3 Observed
diberikan imunisasi campak
tidak diberikan imunisasi campak
Balita responden mendapat imunisasi
campak pada umur 9 bulan
Overall Percentage Step 0
diberikan imunisasi
campak tidak
diberikan imunisasi
campak Balita responden
mendapat imunisasi campak pada umur 9
bulan Percentage
Correct Predicted
Constant is included in the model. a.
The cut value is .500 b.
Variables in the Equation
-1.166 .263
19.711 1
.000 .311
Constant Step 0
B S.E.
Wald df
Sig. ExpB
Variables not in the Equation
23.565 1
.000 23.565
1 .000
METOKAT Variables
Overall Statistics Step 0
Score df
Sig.
Universitas Sumatera Utara
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
26.944 1
.000 26.944
1 .000
26.944 1
.000 Step
Block Model
Step 1 Chi-square
df Sig.
Model Summary
60.765 .286
.429 Step
1 -2 Log
likelihood Cox Snell
R Square Nagelkerke
R Square
Classification Table
a
61 100.0
19 .0
76.3 Observed
diberikan imunisasi campak
tidak diberikan imunisasi campak
Balita responden mendapat imunisasi
campak pada umur 9 bulan
Overall Percentage Step 1
diberikan imunisasi
campak tidak
diberikan imunisasi
campak Balita responden
mendapat imunisasi campak pada umur 9
bulan Percentage
Correct Predicted
The cut value is .500 a.
Variables in the Equation
3.684 1.064
11.987 1
.001 39.789
-7.421 2.050
13.102 1
.000 .001
METOKAT Constant
Step 1
a
B S.E.
Wald df
Sig. ExpB
Variables entered on step 1: METOKAT. a.
▲
Nilai P Value 0.001 0.25 dapat di uji secara bersamaan untuk menentukan Kandidat Multivariate
Universitas Sumatera Utara
Media Logistic Regression
Case Processing Summary
80 100.0
.0 80
100.0 .0
80 100.0
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
diberikan imunisasi campak
tidak diberikan imunisasi campak
Internal Value
Block 0: Beginning Block
Classification Table
a,b
61 100.0
19 .0
76.3 Observed
diberikan imunisasi campak
tidak diberikan imunisasi campak
Balita responden mendapat imunisasi
campak pada umur 9 bulan
Overall Percentage Step 0
diberikan imunisasi
campak tidak
diberikan imunisasi
campak Balita responden
mendapat imunisasi campak pada umur 9
bulan Percentage
Correct Predicted
Constant is included in the model. a.
The cut value is .500 b.
Variables in the Equation
-1.166 .263
19.711 1
.000 .311
Constant Step 0
B S.E.
Wald df
Sig. ExpB
Universitas Sumatera Utara
Variables not in the Equation
7.916 1
.005 7.916
1 .005
MEDIAKAT Variables
Overall Statistics Step 0
Score df
Sig.
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
8.660 1
.003 8.660
1 .003
8.660 1
.003 Step
Block Model
Step 1 Chi-square
df Sig.
Model Summary
79.049 .103
.154 Step
1 -2 Log
likelihood Cox Snell
R Square Nagelkerke
R Square
Classification Table
a
61 100.0
19 .0
76.3 Observed
diberikan imunisasi campak
tidak diberikan imunisasi campak
Balita responden mendapat imunisasi
campak pada umur 9 bulan
Overall Percentage Step 1
diberikan imunisasi
campak tidak
diberikan imunisasi
campak Balita responden
mendapat imunisasi campak pada umur 9
bulan Percentage
Correct Predicted
The cut value is .500 a.
Variables in the Equation
1.772 .679
6.806 1
.009 5.885
-4.140 1.247
11.018 1
.001 .016
MEDIAKAT Constant
Step 1
a
B S.E.
Wald df
Sig. ExpB
Variables entered on step 1: MEDIAKAT. a.
▲
Nilai P Value 0.009 0.25 dapat di uji secara bersamaan untuk menentukan Kandidat Multivariate
Universitas Sumatera Utara
Strategi Logistic Regression
Case Processing Summary
80 100.0
.0 80
100.0 .0
80 100.0
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.