LOGISTIC REGRESSION VARIABLES Y
/METHOD=ENTER X1 X2
/CONTRAST (X1)=Indicator
/CLASSPLOT
/CASEWISE
/PRINT=GOODFIT
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
Notes
Output Created 05-Dec-2024 15:05:21
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 40
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing
Syntax LOGISTIC REGRESSION VARIABLES Y
/METHOD=ENTER X1 X2
/CONTRAST (X1)=Indicator
/CLASSPLOT
/CASEWISE
/PRINT=GOODFIT
/CRITERIA=PIN(0.05) POUT(0.10)
ITERATE(20) CUT(0.5).
Resources Processor Time 00:00:00.031
Elapsed Time 00:00:00.031
[DataSet0]
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 40 100.0
Missing Cases 0 .0
Total 40 100.0
Unselected Cases 0 .0
Total 40 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value Internal Value
Tidak lulus 0
Nilai lulus 1
Categorical Variables Codings
Parameter coding
Frequency (1)
Etika Sopan 19 1.000
Kurang sopan 21 .000
Block 0: Beginning Block
Classification Tablea,b
Predicted
Kelulusan
Observed Tidak lulus Nilai lulus Percentage Correct
Step 0 Kelulusan Tidak lulus 0 15 .0
Nilai lulus 0 25 100.0
Overall Percentage 62.5
a. Constant is included in the model.
b. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant .511 .327 2.446 1 .118 1.667
Variables not in the Equation
Score df Sig.
Step 0 Variables X1(1) 10.165 1 .001
X2 7.765 1 .005
Overall Statistics 11.449 2 .003
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 12.204 2 .002
Block 12.204 2 .002
Model 12.204 2 .002
Model Summary
Cox & Snell R Nagelkerke R
Step -2 Log likelihood Square Square
1 40.721a .263 .358
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than .001.
Hosmer and Lemeshow Test
Step Chi-square df Sig.
1 7.247 5 .203
Contingency Table for Hosmer and Lemeshow Test
Kelulusan = Tidak lulus Kelulusan = Nilai lulus
Observed Expected Observed Expected Total
Step 1 1 3 3.848 2 1.152 5
2 6 4.108 0 1.892 6
3 2 1.756 1 1.244 3
4 1 1.914 3 2.086 4
5 0 1.421 6 4.579 6
6 2 1.490 9 9.510 11
7 1 .462 4 4.538 5
Classification Tablea
Predicted
Kelulusan
Observed Tidak lulus Nilai lulus Percentage Correct
Step 1 Kelulusan Tidak lulus 11 4 73.3
Nilai lulus 3 22 88.0
Overall Percentage 82.5
a. The cut value is .500
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 1a X1(1) -1.767 .897 3.881 1 .049 .171
X2 .431 .357 1.457 1 .227 1.539
Constant .130 1.483 .008 1 .930 1.139
a. Variable(s) entered on step 1: X1, X2.
Step number: 1
Observed Groups and Predicted Probabilities
16 ┼ ┼
│ │
│ │
F │ │
R 12 ┼ ┼
E │ N │
Q │ N │
U │ N │
E 8 ┼ N ┼
N │ N │
C │ T N │
Y │ N T N N │
4 ┼ N T N N N N ┼
│ T T N N N N N │
│ T T T N N T N │
│ T T T T N N N T T │
Predicted ─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────
Prob: 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1
Group: TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
Predicted Probability is of Membership for Nilai lulus
The Cut Value is .50
Symbols: T - Tidak lulus
N - Nilai lulus
Each Symbol Represents 1 Case.
Casewise List
Observed Temporary Variable
Case Selected Statusa Kelulusan Predicted Predicted Group Resid ZResid
1 S T .230 T -.230 -.547
2 S T .230 T -.230 -.547
3 S T .315 T -.315 -.679
4 S T .315 T -.315 -.679
5 S T .315 T -.315 -.679
6 S T .315 T -.315 -.679
7 S T .415 T -.415 -.842
8 S N .626 N .374 .772
9 S T .315 T -.315 -.679
10 S T .315 T -.315 -.679
11 S T .230 T -.230 -.547
12 S N .522 N .478 .958
13 S N** .230 T .770 1.828
14 S N** .415 T .585 1.188
15 S T** .522 N -.522 -1.044
16 S N .908 N .092 .319
17 S N .806 N .194 .491
18 S N .865 N .135 .396
19 S N .908 N .092 .319
20 S N .865 N .135 .396
21 S N .865 N .135 .396
22 S N .865 N .135 .396
23 S N .806 N .194 .491
24 S N .865 N .135 .396
25 S N .908 N .092 .319
26 S N .806 N .194 .491
27 S N .865 N .135 .396
28 S N .729 N .271 .609
29 S N .865 N .135 .396
30 S T** .865 N -.865 -2.526
31 S N .522 N .478 .958
32 S N** .230 T .770 1.828
33 S T .415 T -.415 -.842
34 S N .522 N .478 .958
35 S T** .908 N -.908 -3.133
36 S N .806 N .194 .491
37 S N .865 N .135 .396
38 S N .908 N .092 .319
39 S T** .865 N -.865 -2.526
40 S N .865 N .135 .396
a. S = Selected, U = Unselected cases, and ** = Misclassified cases.
