Bbbc Output1 Logit 150223
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Transcript of Bbbc Output1 Logit 150223
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GET DATA /TYPE=XLSX /FILE='F:\n\c\c_pgp\mda\ma14\ma14_cases\bbbc_case\Bookbinders Book Club Data (Customer Choice)_full data.xlsx' /SHEET=name 'Sheet1' /CELLRANGE=full /READNAMES=on /ASSUMEDSTRWIDTH=32767.EXECUTE.DATASET NAME DataSet1 WINDOW=FRONT.LOGISTIC REGRESSION VARIABLES Choice01 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).
Logistic Regression
[DataSet1]
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
.00
100.03900
.00
100.03900Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Block 0: Beginning Block
Page 1
-
10Percentage
Correct
Choice (0/1)
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
84.5
.00604
100.003296ObservedObserved
Classification Tablea ,b
a. Constant is included in the model.b. The cut value is .500
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .183.00011469.831.044-1.697
Variables in the Equation
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010729.177
.0001375.599
.19211.705
.05213.785
.3491.878
.7891.071
.4681.527
.000144.481
.0001151.784
.000132.373
.000162.690
Variables not in the Equation
Block 1: Method = Enter
Sig.dfChi-square
Step
Block
Model
Step 1
.00010720.273
.00010720.273
.00010720.273
Omnibus Tests of Model Coefficients
Page 2
-
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .292.1692642.054aStepStep
Model Summary
a. Estimation terminated at iteration number 6 because parameter estimates changed by less than .001.
10Percentage
Correct
Choice (0/1)
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
86.5
25.3153451
97.7753221ObservedObserved
Classification Tablea
a. The cut value is .500
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.468.000123.372.157-.758
2.027.000158.600.092.706
.394.000180.171.104-.932
.421.000194.416.089-.864
.560.000129.656.106-.579
.458.000180.031.087-.780
.996.6381.221.009-.004
1.714.000159.474.070.539
.912.000157.754.012-.092
1.002.00418.305.001.002
.405.000178.197.102-.904
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).
Logistic Regression
[DataSet1]
Page 3
-
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Block 0: Beginning Block
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
0400
01200ObservedObserved
Classification Tablec ,d
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
91.175.0
.00204.0
100.002096100.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .500
Page 4
-
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Page 5
-
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
160240
801120ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
89.080.0
38.77912540.0
93.9128196893.3ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .500
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1
Page 6
-
/METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /PRINT=ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1]
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
Page 7
-
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
0400
01200ObservedObserved
Classification Tablec ,d
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
91.175.0
.00204.0
100.002096100.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .500
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Page 8
-
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Page 9
-
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
160240
801120ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
89.080.0
38.77912540.0
93.9128196893.3ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .500
Page 10
-
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /PRINT=ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.3).
Logistic Regression
[DataSet1]
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Page 11
-
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
0400
01200ObservedObserved
Classification Tablec ,d
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
91.175.0
.00204.0
100.002096100.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .300
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Page 12
-
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Page 13
-
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
253147
217983ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
79.977.3
61.31257963.2
81.7383171381.9ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .300
Page 14
-
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /PRINT=ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.1).
Logistic Regression
[DataSet1]
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted Cases aUnweighted Cases a
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Page 15
-
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
4000
12000ObservedObserved
Classification Tablec ,d
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
8.925.0
100.02040100.0
.020960.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .100
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Page 16
-
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Page 17
-
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected Cases aPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
37624
760440ObservedObserved
Classification Table c
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected Cases bSelected Cases a
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
43.051.0
90.71851994.0
38.4129280436.7ObservedObserved
Classification Table c
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .100
Page 18
-
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /PRINT=GOODFIT ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1]
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted Cases aUnweighted Cases a
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Page 19
-
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
0400
01200ObservedObserved
Classification Tablec ,d
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
91.175.0
.00204.0
100.002096100.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .500
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Page 20
-
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Page 21
-
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
1 .93083.061StepStep
Hosmer and Lemeshow Test
ExpectedObserved ExpectedObserved Total
Choice (0/1) = 1Choice (0/1) = 0
1
2
3
4
5
6
7
8
9
10
Step 1
160120.82712039.17340
16079.7228080.27880
16055.79057104.210103
16040.45237119.548123
16031.47533128.525127
16024.37925135.621135
16018.89923141.101137
16014.06615145.934145
16010.0937149.907153
1604.2963155.704157
Contingency Table for Hosmer and Lemeshow Test
Page 22
-
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
160240
801120ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
89.080.0
38.77912540.0
93.9128196893.3ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .500
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1
Page 23
-
/METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /CASEWISE OUTLIER(2) /PRINT=GOODFIT ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1]
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
Page 24
-
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
0400
01200ObservedObserved
Classification Tablec ,d
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
91.175.0
.00204.0
100.002096100.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .500
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Page 25
-
Block 1: Method = Enter
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Page 26
-
Sig.dfChi-square
1 .93083.061StepStep
Hosmer and Lemeshow Test
ExpectedObserved ExpectedObserved Total
Choice (0/1) = 1Choice (0/1) = 0
1
2
3
4
5
6
7
8
9
10
Step 1
160120.82712039.17340
16079.7228080.27880
16055.79057104.210103
16040.45237119.548123
16031.47533128.525127
16024.37925135.621135
16018.89923141.101137
16014.06615145.934145
16010.0937149.907153
1604.2963155.704157
Contingency Table for Hosmer and Lemeshow Test
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
160240
801120ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
89.080.0
38.77912540.0
93.9128196893.3ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .500
Page 27
-
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
Page 28
-
Selected Status a Choice (0/1)
Predicted GroupPredicted ZResidResid
Temporary VariableObserved
16
22
26
44
47
65
67
70
75
90
94
96
100
101
114
116
127
135
137
150
164
165
172
182
192
194
196
202
205
213
239
247
249
260
261 3.630.9290.0711**S
2.789.8860.1141**S
2.691.8790.1211**S
6.056.9730.0271**S
2.894.8930.1071**S
2.708.8800.1201**S
3.202.9110.0891**S
3.765.9340.0661**S
2.724.8810.1191**S
3.713.9320.0681**S
2.616.8730.1271**S
3.276.9150.0851**S
2.956.8970.1031**S
4.128.9450.0551**S
2.524.8640.1361**S
4.237.9470.0531**S
2.914.8950.1051**S
2.918.8950.1051**S
2.624.8730.1271**S
3.024.9010.0991**S
2.822.8880.1121**S
2.559.8670.1331**S
6.155.9740.0261**S
2.958.8970.1031**S
3.392.9200.0801**S
3.238.9130.0871**S
3.108.9060.0941**S
6.299.9750.0251**S
2.709.8800.1201**S
2.794.8860.1141**S
3.168.9090.0911**S
2.607.8720.1281**S
2.523.8640.1361**S
3.785.9350.0651**S
3.311.9160.0841**SCaseCase
Casewise Listb
Page 29
-
Selected Statusa Choice (0/1)
Predicted GroupPredicted ZResidResid
Temporary VariableObserved
265
267
275
304
307
309
319
328
335
351
356
362
368
374
381
935
1394
1516 -2.663-.8761.8760**S
-3.108-.9061.9060**S
-4.028-.9421.9420**S
2.912.8950.1051**S
4.145.9450.0551**S
2.822.8880.1121**S
3.408.9210.0791**S
3.412.9210.0791**S
2.944.8970.1031**S
3.213.9120.0881**S
2.670.8770.1231**S
2.637.8740.1261**S
3.238.9130.0871**S
2.827.8890.1111**S
2.596.8710.1291**S
2.774.8850.1151**S
3.168.9090.0911**S
3.251.9140.0861**SCaseCase
Casewise Listb
a. S = Selected, U = Unselected cases, and ** = Misclassified cases.b. Cases with studentized residuals greater than 2.000 are listed.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /CASEWISE OUTLIER(2) /PRINT=GOODFIT ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.3).
Logistic Regression
[DataSet1]
Page 30
-
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
0400
01200ObservedObserved
Classification Tablec ,d
Page 31
-
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
91.175.0
.00204.0
100.002096100.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .300
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
Page 32
-
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
1 .93083.061StepStep
Hosmer and Lemeshow Test
Page 33
-
ExpectedObserved ExpectedObserved Total
Choice (0/1) = 1Choice (0/1) = 0
1
2
3
4
5
6
7
8
9
10
Step 1
160120.82712039.17340
16079.7228080.27880
16055.79057104.210103
16040.45237119.548123
16031.47533128.525127
16024.37925135.621135
16018.89923141.101137
16014.06615145.934145
16010.0937149.907153
1604.2963155.704157
Contingency Table for Hosmer and Lemeshow Test
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
253147
217983ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
79.977.3
61.31257963.2
81.7383171381.9ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .300
Page 34
-
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
Page 35
-
Selected Status a Choice (0/1)
Predicted GroupPredicted ZResidResid
Temporary VariableObserved
16
22
26
44
47
65
67
70
75
90
94
96
100
101
114
116
127
135
137
150
164
165
172
182
192
194
196
202
205
213
239
247
249
260
261 3.630.9290.0711**S
2.789.8860.1141**S
2.691.8790.1211**S
6.056.9730.0271**S
2.894.8930.1071**S
2.708.8800.1201**S
3.202.9110.0891**S
3.765.9340.0661**S
2.724.8810.1191**S
3.713.9320.0681**S
2.616.8730.1271**S
3.276.9150.0851**S
2.956.8970.1031**S
4.128.9450.0551**S
2.524.8640.1361**S
4.237.9470.0531**S
2.914.8950.1051**S
2.918.8950.1051**S
2.624.8730.1271**S
3.024.9010.0991**S
2.822.8880.1121**S
2.559.8670.1331**S
6.155.9740.0261**S
2.958.8970.1031**S
3.392.9200.0801**S
3.238.9130.0871**S
3.108.9060.0941**S
6.299.9750.0251**S
2.709.8800.1201**S
2.794.8860.1141**S
3.168.9090.0911**S
2.607.8720.1281**S
2.523.8640.1361**S
3.785.9350.0651**S
3.311.9160.0841**SCaseCase
Casewise Listb
Page 36
-
Selected Statusa Choice (0/1)
Predicted GroupPredicted ZResidResid
Temporary VariableObserved
265
267
275
304
307
309
319
328
335
351
356
362
368
374
381
935
1394
1516 -2.663-.8761.8760**S
-3.108-.9061.9060**S
-4.028-.9421.9420**S
2.912.8950.1051**S
4.145.9450.0551**S
2.822.8880.1121**S
3.408.9210.0791**S
3.412.9210.0791**S
2.944.8970.1031**S
3.213.9120.0881**S
2.670.8770.1231**S
2.637.8740.1261**S
3.238.9130.0871**S
2.827.8890.1111**S
2.596.8710.1291**S
2.774.8850.1151**S
3.168.9090.0911**S
3.251.9140.0861**SCaseCase
Casewise Listb
a. S = Selected, U = Unselected cases, and ** = Misclassified cases.b. Cases with studentized residuals greater than 2.000 are listed.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /CASEWISE OUTLIER(2) /PRINT=GOODFIT ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.1).
Logistic Regression
[DataSet1]
Page 37
-
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
4000
12000ObservedObserved
Classification Table c ,d
Page 38
-
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
8.925.0
100.02040100.0
.020960.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .100
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
Page 39
-
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
1 .93083.061StepStep
Hosmer and Lemeshow Test
Page 40
-
ExpectedObserved ExpectedObserved Total
Choice (0/1) = 1Choice (0/1) = 0
1
2
3
4
5
6
7
8
9
10
Step 1
160120.82712039.17340
16079.7228080.27880
16055.79057104.210103
16040.45237119.548123
16031.47533128.525127
16024.37925135.621135
16018.89923141.101137
16014.06615145.934145
16010.0937149.907153
1604.2963155.704157
Contingency Table for Hosmer and Lemeshow Test
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
37624
760440ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
43.051.0
90.71851994.0
38.4129280436.7ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .100
Page 41
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Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
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Selected Status a Choice (0/1)
Predicted GroupPredicted ZResidResid
Temporary VariableObserved
16
22
26
44
47
65
67
70
75
90
94
96
100
101
114
116
127
135
137
150
164
165
172
182
192
194
196
202
205
213
239
247
249
260
261 3.630.9290.0711**S
2.789.8861.1141 S
2.691.8791.1211 S
6.056.9730.0271**S
2.894.8931.1071 S
2.708.8801.1201 S
3.202.9110.0891**S
3.765.9340.0661**S
2.724.8811.1191 S
3.713.9320.0681**S
2.616.8731.1271 S
3.276.9150.0851**S
2.956.8971.1031 S
4.128.9450.0551**S
2.524.8641.1361 S
4.237.9470.0531**S
2.914.8951.1051 S
2.918.8951.1051 S
2.624.8731.1271 S
3.024.9010.0991**S
2.822.8881.1121 S
2.559.8671.1331 S
6.155.9740.0261**S
2.958.8971.1031 S
3.392.9200.0801**S
3.238.9130.0871**S
3.108.9060.0941**S
6.299.9750.0251**S
2.709.8801.1201 S
2.794.8861.1141 S
3.168.9090.0911**S
2.607.8721.1281 S
2.523.8641.1361 S
3.785.9350.0651**S
3.311.9160.0841**SCaseCase
Casewise Listb
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-
Selected Statusa Choice (0/1)
Predicted GroupPredicted ZResidResid
Temporary VariableObserved
265
267
275
304
307
309
319
328
335
351
356
362
368
374
381
935
1394
1516 -2.663-.8761.8760**S
-3.108-.9061.9060**S
-4.028-.9421.9420**S
2.912.8951.1051 S
4.145.9450.0551**S
2.822.8881.1121 S
3.408.9210.0791**S
3.412.9210.0791**S
2.944.8971.1031 S
3.213.9120.0881**S
2.670.8771.1231 S
2.637.8741.1261 S
3.238.9130.0871**S
2.827.8891.1111 S
2.596.8711.1291 S
2.774.8851.1151 S
3.168.9090.0911**S
3.251.9140.0861**SCaseCase
Casewise Listb
a. S = Selected, U = Unselected cases, and ** = Misclassified cases.b. Cases with studentized residuals greater than 2.000 are listed.
LOGISTIC REGRESSION VARIABLES Choice01 /SELECT=Training EQ 1 /METHOD=ENTER Gender Amountpurchased Frequency Lastpurchase Firstpurchase P_Child P_Youth P_Cook P_DIY P_Art /CASEWISE OUTLIER(3) /PRINT=GOODFIT ITER(1) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.1).
Logistic Regression
[DataSet1]
Page 44
-
PercentN
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Selected Cases
100.03900
59.02300
41.01600
.00
41.01600Unweighted CasesaUnweighted Casesa
Case Processing Summary
a. If weight is in effect, see classification table for the total number of cases.
Internal Value
0
1 1
0Original ValueOriginal Value
Dependent Variable Encoding
Block 0: Beginning Block
-2 Log likelihood Constant
Coefficients
1
2
3
4
Step 0
-1.0991799.472
-1.0991799.472
-1.0961799.474
-1.0001802.437IterationIteration
Iteration Historya ,b ,c
a. Constant is included in the model.b. Initial -2 Log Likelihood: 1799.472c. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 0
4000
12000ObservedObserved
Classification Table c ,d
Page 45
-
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 0
8.925.0
100.02040100.0
.020960.0ObservedObserved
Classification Tablec ,d
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. Constant is included in the model.d. The cut value is .100
Exp(B)Sig.dfWaldS.E.B
ConstantStep 0 .333.0001362.085.058-1.099
Variables in the Equation
Sig.dfScore
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Overall Statistics
VariablesStep 0
.00010384.097
.0001204.706
.8321.045
.10712.593
.26911.220
.7331.116
.8991.016
.000132.007
.000181.735
.000122.336
.000132.062
Variables not in the Equation
Block 1: Method = Enter
Page 46
-
-2 Log likelihood LastpurchaseFrequency
AmountpurchasedGenderConstant
Coefficients
1
2
3
4
5
Step 1
.612-.076.002-.863-.3521392.159
.612-.076.002-.863-.3521392.159
.607-.074.002-.857-.3591392.186
.556-.063.002-.783-.4271396.108
.388-.036.001-.524-.5431457.321IterationIteration
Iteration Historya ,b ,c ,d
P_ArtP_DIYP_CookP_YouthP_ChildFirstpurchase
Coefficients
1
2
3
4
5
Step 1
.686-.906-.923-.637-.811-.015
.686-.906-.923-.637-.811-.015
.682-.898-.916-.632-.806-.015
.634-.811-.832-.573-.736-.013
.471-.541-.566-.385-.505-.008IterationIteration
Iteration Historya ,b ,c ,d
a. Method: Enterb. Constant is included in the model.c. Initial -2 Log Likelihood: 1799.472d. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
Step
Block
Model
Step 1
.00010407.313
.00010407.313
.00010407.313
Omnibus Tests of Model Coefficients
Nagelkerke R Square
Cox & Snell R Square
-2 Log likelihood
1 .333.2251392.159aStepStep
Model Summary
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Sig.dfChi-square
1 .93083.061StepStep
Hosmer and Lemeshow Test
Page 47
-
ExpectedObserved ExpectedObserved Total
Choice (0/1) = 1Choice (0/1) = 0
1
2
3
4
5
6
7
8
9
10
Step 1
160120.82712039.17340
16079.7228080.27880
16055.79057104.210103
16040.45237119.548123
16031.47533128.525127
16024.37925135.621135
16018.89923141.101137
16014.06615145.934145
16010.0937149.907153
1604.2963155.704157
Contingency Table for Hosmer and Lemeshow Test
10
Choice (0/1)
Selected CasesaPredicted
0
1
Overall Percentage
Choice (0/1)Step 1
37624
760440ObservedObserved
Classification Tablec
Percentage Correct 10
Percentage Correct
Choice (0/1)
Unselected CasesbSelected Casesa
Predicted
0
1
Overall Percentage
Choice (0/1)Step 1
43.051.0
90.71851994.0
38.4129280436.7ObservedObserved
Classification Tablec
a. Selected cases Training EQ 1b. Unselected cases Training NE 1c. The cut value is .100
Page 48
-
Exp(B)Sig.dfWaldS.E.B
Gender
Amountpurchased
Frequency
Lastpurchase
Firstpurchase
P_Child
P_Youth
P_Cook
P_DIY
P_Art
Constant
Step 1a
.704.10112.689.214-.352
1.986.000129.178.127.686
.404.000139.738.144-.906
.397.000159.677.119-.923
.529.000119.741.143-.637
.444.000148.319.117-.811
.985.24811.333.013-.015
1.844.000142.526.094.612
.927.000120.709.017-.076
1.002.01915.542.001.002
.422.000139.443.137-.863
Variables in the Equation
a. Variable(s) entered on step 1: Gender, Amountpurchased, Frequency, Lastpurchase, Firstpurchase, P_Child, P_Youth, P_Cook, P_DIY, P_Art.
Casewise Lista
a. The casewise plot is not produced because no outliers were found.
Page 49