Output Logistic Regression 1
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Transcript of Output Logistic Regression 1
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LOGISTIC REGRESSION BAGIAN 1 Tutorial Series SPSSTEORIONLINEOleh : Hendry
http://teorionline.wordpress.com/
Logistic Regression
Block 0: Beginning Block
Case Processing Summary
30 100.00 .0
30 100.0
0 .030 100.0
Unweighted Cases a
Included in AnalysisMissing CasesTotal
Selected Cases
Unselected CasesTotal
N Percent
If weight is in effect, see classification table for the totalnumber of cases.
a.
Dependent Variable Encodin g
01
Original Valuetidak sakitsakit
Internal Value
Iteration History a,b,c
41.589 .000Iteration
1Step 0
-2 Loglikelihood Constant
Coefficients
Constant is included in the model.a.
Initial -2 Log Likelihood: 41.589b.
Estimation terminated at iteration number 1 becauseparameter estimates changed by less than .001.
c.
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Block 1: Method = Enter
Classification Table a,b
0 15 .00 15 100.0
50.0
Observedtidak sakitsakit
sakit
Overall Percentage
Step 0tidak sakit sakit
sakit PercentageCorrect
Predicted
Constant is included in the model.a.
The cut value is .500b.
Variables in the Equation
.000 .365 .000 1 1.000 1.000ConstantStep 0B S.E. Wald df Sig. Exp(B)
Variables not i n the Equation
16.133 1 .0003.197 1 .074
19.266 2 .000
rokokusia
Variables
Overall Statistics
Step0
Score df Sig.
Iteration History a,b,c,d
19.957 -5.160 2.928 .08717.249 -8.685 4.230 .15516.779 -10.799 5.051 .19616.750 -11.454 5.324 .20916.750 -11.509 5.348 .21016.750 -11.509 5.348 .210
Iteration123456
Step1
-2 Loglikelihood Constant rokok usia
Coefficients
Method: Enter a.
Constant is included in the model.b.
Initial -2 Log Likelihood: 41.589c.
Estimation terminated at iteration number 6 becauseparameter estimates changed by less than .001.
d.
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Omnibus Tests of Model Coefficients
24.839 2 .00024.839 2 .00024.839 2 .000
StepBlockModel
Step 1Chi-square df Sig.
Model Summary
16.750 a .563 .751Step1
-2 Loglikelihood
Cox & SnellR Square
NagelkerkeR Square
Estimation terminated at iteration number 6 becauseparameter estimates changed by less than .001.
a.
Hosmer and Lemeshow Test
6.475 8 .594Step1
Chi-square df Sig.
Contingency Table for Hosmer and Lemeshow Test
3 2.975 0 .025 33 2.902 0 .098 33 2.798 0 .202 33 2.442 0 .558 31 2.103 2 .897 31 1.335 2 1.665 31 .213 2 2.787 30 .055 1 .945 10 .149 5 4.851 50 .028 3 2.972 3
123
45678910
Step1
Observed Expectedsakit = tidak sakit
Observed Expectedsakit = sakit
Total
Classification Table a
14 1 93.32 13 86.7
90.0
Observedtidak sakitsakit
sakit
Overall Percentage
Step 1tidak sakit sakit
sakit PercentageCorrect
Predicted
The cut value is .500a.
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Step number: 1
Observed Groups and Predicted Probabilities
8
F R 6 E Q s U s E 4 s N s C t s ssY t s ss
2 tt t s s sstt t s s ssttttt tt t st t s s ts ssttttt tt t st t s s ts ss
Predicted Prob: 0 .25 .5 .75 1Group: ttttttttttttttttttttttttttttttssssssssssssssssssssssssssssss
Predicted Probability is of Membership for sakitThe Cut Value is .50
Symbols: t - tidak sakits - sakitEach Symbol Represents .5 Cases.
Variables in the Equation
5.348 1.845 8.403 1 .004 210.286.210 .098 4.602 1 .032 1.233
-11.509 4.814 5.716 1 .017 .000
rokokusiaConstant
Step1
a
B S.E. Wald df Sig. Exp(B)
Variable(s) entered on step 1: rokok, usia.a.
Correlation Matrix
1.000 -.793 -.985-.793 1.000 .725-.985 .725 1.000
Constantrokokusia
Step1
Constant rokok usia
