1 8
.0 Overall Percentage
77.8 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
-1.253 .401
9.765 1
.002 .286
Variables not in the Equation
Score df
Sig. Step 0
Variables rancangan_pesan
10.750 1
.001 Overall Statistics
10.750 1
.001
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df
Sig. Step 1
Step 11.806
1 .001
Block 11.806
1 .001
Model 11.806
1 .001
Model Summary
Step -2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
1 26.333
a
.280 .428
a. Estimation terminated at iteration number 6 because parameter estimates changed by less than ,001.
Classification Table
a
Observed Predicted
efektivitas Percentage
Correct 1
Step 1 efektivitas
27 1
96.4 1
3 5
62.5 Overall Percentage
88.9 a. The cut value is ,500
Variables in the Equation
B S.E.
Wald df
Sig. ExpB
Step 1
a
rancangan_pesan .186
.068 7.364
1 .007
1.204 Constant
-11.375 3.870
8.641 1
.003 .000
a. Variables entered on step 1: rancangan_pesan.
Uji Regresi Logit Biner Variabel Kerja Rancangan Pesan
Logistic Regression
Case Processing Summary
Unweighted Cases
a
N Percent
Selected Cases Included in Analysis
36 100.0
Missing Cases .0
Total 36
100.0 Unselected Cases
.0 Total
36 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value 1
1
Block 0: Beginning Block
Classification Table
a,b
Observed Predicted
efektivitas Percentage
Correct 1
Step 0 efektivitas
28 100.0
1 8
.0 Overall Percentage
77.8 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
-1.253 .401
9.765 1
.002 .286
Variables not in the Equation
Score df
Sig. Step 0
Variables attention
4.826 1
.028 Overall Statistics
4.826 1
.028
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df
Sig. Step 1
Step 5.048
1 .025
Block 5.048
1 .025
Model 5.048
1 .025
Model Summary
Step -2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
1 33.091
a
.131 .200
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than ,001.
Classification Table
a
Observed Predicted
efektivitas Percentage
Correct 1
Step 1 efektivitas
28 100.0
1 6
2 25.0
Overall Percentage 83.3
a. The cut value is ,500
Variables in the Equation
B S.E.
Wald df
Sig. ExpB
Step 1
a
attention .061
.030 4.169
1 .041
1.063 Constant
-5.516 2.219
6.179 1
.013 .004
a. Variables entered on step 1: attention.
Logistic Regression
Case Processing Summary
Unweighted Cases
a
N Percent
Selected Cases Included in Analysis
36 100.0
Missing Cases .0
Total 36
100.0 Unselected Cases
.0 Total
36 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value 1
1
Block 0: Beginning Block
Classification Table
a,b
Observed Predicted
efektivitas Percentage Correct
1 Step 0
efektivitas 28
100.0 1
8 .0
Overall Percentage 77.8
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
-1.253 .401
9.765 1
.002 .286
Variables not in the Equation
Score df
Sig. Step 0
Variables need
12.474 1
.000 Overall Statistics
12.474 1
.000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df
Sig. Step 1
Step 13.888
1 .000
Block 13.888
1 .000
Model 13.888
1 .000
Model Summary
Step -2 Log likelihood
Cox Snell R Square
Nagelkerke R Square
1 24.250
a
.320 .490
a. Estimation terminated at iteration number 6 because parameter estimates changed by less than ,001.