Dependent Variable Encoding
Original Value
Internal Value tidak ada
Ada 1
Block 0: Beginning Block
Classification Table
a,b
Observed Predicted
kejadianstroke Percentage
Correct tidak ada
ada Step 0
kejadianstroke tidak ada
33 .0
ada 33
100.0 Overall Percentage
50.0 a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B S.E.
Wald df
Sig. ExpB
Step 0 Constant
.000 .246
.000 1
1.000 1.000
Variables not in the Equation
Score df
Sig. Step 0
Variables Jeniskelamin
3.155 1
.076 Riwayathipertensi
10.280 1
.001 riwayathiperkolesterolemia
1.438 1
.230 riwayatpjk
5.121 1
.024 riwayatmerokok
3.667 1
.056 riwayatkonsumsialkohol
2.933 1
.087
Universitas Sumatera Utara
Variables not in the Equation
Score df
Sig. Step 0
Variables Jeniskelamin
3.155 1
.076 Riwayathipertensi
10.280 1
.001 riwayathiperkolesterolemia
1.438 1
.230 riwayatpjk
5.121 1
.024 riwayatmerokok
3.667 1
.056 riwayatkonsumsialkohol
2.933 1
.087 Overall Statistics
21.060 6
.002
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square Df
Sig. Step 1
Step 24.484
6 .000
Block 24.484
6 .000
Model 24.484
6 .000
Model Summary
Step -2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
1 67.011
a
.310 .413
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than ,001.
Classification Table
a
Observed Predicted
kejadianstroke Percentage
Correct tidak ada
ada Step 1
kejadianstroke tidak ada
27 6
81.8 ada
12 21
63.6 Overall Percentage
72.7 a. The cut value is ,500
Universitas Sumatera Utara
Variables in the Equation
B S.E.
Wald df
Sig. ExpB 95,0 C.I.for EXPB
Lower Upper
Step 1
a
jeniskelamin -.976
.622 2.460
1 .117 .377
.111 1.276
riwayathipertensi 1.631
.617 6.988
1 .008 5.106
1.524 17.105
riwayathiperkolesterolem ia
-1.207 1.227
.968 1 .325
.299 .027
3.312 riwayatpjk
2.258 1.181
3.654 1 .056
9.566 .944
96.905 riwayatmerokok
1.081 .992
1.187 1 .276
2.947 .422
20.596 riwayatkonsumsialkohol
1.837 1.615
1.295 1 .255
6.281 .265
148.808 Constant
.237 1.086
.048 1 .827
1.268 a. Variables entered on step 1: jeniskelamin, riwayathipertensi, riwayathiperkolesterolemia, riwayatpjk,
riwayatmerokok, riwayatkonsumsialkohol.
LOGISTIC REGRESSION VARIABLES kejadianstroke METHOD=ENTER jeniskelamin riwayathipertensi riwayatpjk riwayatmerokok riwayatkonsumsialkohol
PRINT=CI95 CRITERIA=PIN0.05 POUT0.10 ITERATE20 CUT0.5.
Logistic Regression
Case Processing Summary
Unweighted Cases
a
N Percent
Selected Cases Included in Analysis
66 100.0
Missing Cases .0
Total 66
100.0 Unselected Cases
.0 Total
66 100.0
a. If weight is in effect, see classification table for the total number of cases.
Universitas Sumatera Utara
Dependent Variable Encoding
