Bbbc Output1 Logit 150223

49
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] Percent N Included in Analysis Missing Cases Total Unselected Cases Total Selected Cases 100.0 3900 .0 0 100.0 3900 .0 0 100.0 3900 Unweighted Cases a Unweighted 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 0 Original Value Original Value Dependent Variable Encoding Block 0: Beginning Block Page 1

Transcript of Bbbc Output1 Logit 150223

  • 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

  • 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 42

  • 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

    Page 43

  • 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