Chi-Square Tests
Value df
Asymp. Sig. 2-sided Pearson Chi-Square
4.756
a
2 .093
Likelihood Ratio 5.067
2 .079
Linear-by-Linear Association 2.042
1 .153
N of Valid Cases 82
a. 0 cells .0 have expected count less than 5. The minimum expected count is 7.65.
Logistic Regression
MULTIVARIAT
Case Processing Summary
Unweighted Cases
a
N Percent
Selected Cases Included in Analysis
82 100.0
Missing Cases .0
Total 82
100.0 Unselected Cases
.0 Total
82 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
tidak stres stres
1
Block 0: Beginning Block
panas stresquartile Crosstabulation
stresquartile Total
tidak stres stres ringan
stres berat panas
tidak terpapar panas Count
11 22
16 49
within panas 22.4
44.9 32.7
100.0 terpapar panas
Count 8
21 4
33 within panas
24.2 63.6
12.1 100.0
Total Count
19 43
20 82
within panas 23.2
52.4 24.4
100.0
Classification Table
a,b
Observed Predicted
stresmedian Percentage
Correct tidak stres
stres Step 0
stresmedian tidak stres
38 .0
stres 44
100.0 Overall Percentage
53.7 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
.147 .221
.438 1
.508 1.158
Variables not in the Equation
Score df
Sig. Step 0
Variables usia
25.477 1
.000 masa
10.993 1
.001 rutinitas1
.079 1
.778 hub1
2.144 1
.143 kebisingan
10.449 1
.001 panas
.017 1
.895 Overall Statistics
32.196 6
.000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df
Sig. Step 1
Step 38.114
6 .000
Block 38.114
6 .000
Model 38.114
6 .000
Model Summary
Step -2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
1 75.122
a
.372 .497
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
classification table
Observed Predicted
stresmedian Percentage
Correct tidak stres
stres
Step 1 stresmedian
tidak stres 30
8 78.9
stres 11
33 75.0
Overall Percentage 76.8
a. The cut value is .500
Variables in the Equation
B S.E.
Wald df
Sig. ExpB
95.0 C.I.for EXPB Lower
Upper Step 1
a
usia .203
.058 12.288
1 .000
1.225 1.093
1.371 masa
-.062 .058
1.167 1
.280 .940
.840 1.052
rutinitas1 .071
.663 .012
1 .914
1.074 .293
3.938 hub1
1.242 .803
2.394 1
.122 3.463
.718 16.701
kebisingan 1.345
.654 4.235
1 .040
3.837 1.066
13.814 panas
.189 .634
.089 1
.765 1.209
.349 4.188
Constant -7.364
1.837 16.073
1 .000
.001 a. Variables entered on step 1: usia, masa, rutinitas1, hub1, kebisingan, panas.
Logistic Regression
Case Processing Summary
Unweighted Cases
a
N Percent
Selected Cases Included in Analysis
82 100.0
Missing Cases .0
Total 82
100.0 Unselected Cases
.0 Total
82 100.0
a. If weight is in effect, see classification table for the tot b. al number of cases.
Dependent Variable Encoding
Original Value
Internal Value tidak stres
stres 1
Block 0: Beginning Block
Classification Table
a,b
Observed Predicted
stresmedian Percentage
Correct tidak stres
stres Step 0
stresmedian tidak stres
38 .0
stres 44
100.0 Overall Percentage
53.7 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
.147 .221
.438 1
.508 1.158
Variables not in the Equation
Score df
Sig. Step 0
Variables usia
25.477 1
.000 masa
10.993 1
.001 hub1
2.144 1
.143 kebisingan
10.449 1
.001 panas
.017 1
.895 Overall Statistics
32.121 5
.000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df
Sig. Step 1
Step 38.103
5 .000
Block 38.103
5 .000
Model 38.103
5 .000
model Summary
Step -2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
1 75.134
a
.372 .496
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Classification Table
a
Observed Predicted
stresmedian Percentage
Correct tidak stres
stres Step 1
stresmedian tidak stres
30 8
78.9 stres
11 33
75.0 Overall Percentage
76.8 a. The cut value is .500
Variables in the Equation
B S.E.
Wald df
Sig. ExpB
95.0 C.I.for EXPB Lower
Upper Step 1
a
usia .202
.058 12.300
1 .000
1.224 1.093
1.370 masa
-.062 .058
1.160 1
.281 .940
.839 1.052
hub1 1.245
.802 2.407
1 .121
3.473 .720
16.740 kebisingan
1.361 .636
4.578 1
.032 3.901
1.121 13.574
panas .188
.634 .088
1 .767
1.207 .348
4.183 Constant
-7.300 1.735
17.708 1
.000 .001
a. Variables entered on step 1: usia, masa, hub1, kebisingan, panas.
Logistic Regression
Case Processing Summary
Unweighted Cases
a
N Percent
Selected Cases Included in Analysis
82 100.0
Missing Cases .0
Total 82
100.0 Unselected Cases
.0 Total
82 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value tidak stres
stres 1
block 0: Beginning Block
Classification Table
a,b
Observed Predicted
stresmedian Percentage
Correct tidak stres
stres Step 0
stresmedian tidak stres
38 .0
stres 44
100.0 Overall Percentage
53.7 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
.147 .221
.438 1
.508 1.158
Variables not in the Equation
Score df
Sig. Step 0
Variables usia
25.477 1
.000 masa
10.993 1
.001 hub1
2.144 1
.143 kebisingan
10.449 1
.001 Overall Statistics
31.987 4
.000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df
Sig. Step 1
Step 38.015
4 .000
Block 38.015
4 .000
Model 38.015
4 .000
Model Summary
Step -2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
1 75.222
a
.371 .496
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
classification Table
a
Observed Predicted
stresmedian Percentage
Correct tidak stres
stres Step 1
stresmedian tidak stres
31 7
81.6 stres
11 33
75.0 Overall Percentage
78.0 a. The cut value is .500
Variables in the Equation
B S.E.
Wald df
Sig. ExpB
95.0 C.I.for EXPB Lower
Upper Step 1
a
usia .205
.057 13.013
1 .000
1.228 1.098
1.372 masa
-.063 .057
1.219 1
.270 .939
.839 1.050
hub1 1.225
.799 2.352
1 .125
3.404 .711
16.291 kebisingan
1.302 .601
4.685 1
.030 3.676
1.131 11.947
Constant -7.288
1.733 17.691
1 .000
.001 a. Variables entered on step 1: usia, masa, hub1, kebisingan.
Logistic Regression
Case Processing Summary
Unweighted Cases
a
N Percent
Selected Cases Included in Analysis
82 100.0
Missing Cases .0
Total 82
100.0 Unselected Cases
.0 Total
82 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
