Berikut ini dilakukan survei terhadap 130 responden mengenai pengaruh umur, jenis kelamin serta tingkat pendapatan responden terhadap keputusan dalam pembelian mobil.Variabel Dependen:Y= Keputusan pembelian mobil oleh responden0: Tidak membeli mobil1: Membeli mobilVariabel Dependen:X1= Usia respondenX2= Jenis kelamin responden0: Pria1: WanitaX3 = Tingkat pendapatan responden0: Berpendapatan Rendah1: Berpendapatan Sedang-TinggiBerikut adalah hasil output dari pengolahan data tersebut menggunakan SPSSLogistic Regression

Case Processing Summary

Unweighted CasesaNPercent

Selected CasesIncluded in Analysis130100.0

Missing Cases0.0

Total130100.0

Unselected Cases0.0

Total130100.0

a. If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding

Original ValueInternal Value

Tidak Membeli Mobil0

Membeli Mobil1

Block 0: Beginning Block

Classification Tablea,b

ObservedPredicted

Keputusan Membeli MobilPercentage Correct

Tidak Membeli MobilMembeli Mobil

Step 0Keputusan Membeli MobilTidak Membeli Mobil760100.0

Membeli Mobil540.0

Overall Percentage58.5

a. Constant is included in the model.

b. The cut value is .500

Variables in the Equation

BS.E.WalddfSig.Exp(B)

Step 0Constant-.342.1783.6871.055.711

Variables not in the Equation

ScoredfSig.

Step 0VariablesUmur5.0501.025

Jenis_Kelamin4.7581.029

Pendapatan.8731.350

Overall Statistics10.8473.013

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

Chi-squaredfSig.

Step 1Step11.2023.011

Block11.2023.011

Model11.2023.011

Model Summary

Step-2 Log likelihoodCox & Snell R SquareNagelkerke R Square

1165.275a.083.111

a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.

Hosmer and Lemeshow Test

StepChi-squaredfSig.

14.5508.804

Contingency Table for Hosmer and Lemeshow Test

Keputusan Membeli Mobil = Tidak Membeli MobilKeputusan Membeli Mobil = Membeli MobilTotal

ObservedExpectedObservedExpected

Step 111211.16622.83414

21212.61954.38117

3108.94334.05713

487.62944.37112

577.68965.31113

646.65985.34112

776.26355.73712

876.14566.85513

964.93667.06412

1033.95098.05012

Classification Tablea

ObservedPredicted

Keputusan Membeli MobilPercentage Correct

Tidak Membeli MobilMembeli Mobil

Step 1Keputusan Membeli MobilTidak Membeli Mobil601678.9

Membeli Mobil332138.9

Overall Percentage62.3

a. The cut value is .500

Variables in the Equation

BS.E.WalddfSig.Exp(B)95% C.I.for EXP(B)

LowerUpper

Step 1aUmur-.100.0474.5751.032.905.826.992

Jenis_Kelamin.853.3834.9481.0262.3471.1074.976

Pendapatan.526.4241.5401.2151.692.7373.881

Constant2.5651.8072.0141.15612.995

a. Variable(s) entered on step 1: Umur, Jenis_Kelamin, Pendapatan.

Casewise List

CaseSelected StatusaObservedPredictedPredicted GroupTemporary Variable

Keputusan Membeli MobilResidZResid

1ST .360T-.360-.751

2ST .457T-.457-.917

3ST .274T-.274-.615

4SM**.457T.5431.091

5ST .360T-.360-.751

6SM**.408T.5921.206

7ST .481T-.481-.963

8SM**.481T.5191.038

9ST .255T-.255-.585

10ST .338T-.338-.714

11SM**.432T.5681.147

12SM**.338T.6621.400

13SM .531M.469.939

14SM**.457T.5431.091

15ST**.531M-.531-1.064

16ST .408T-.408-.829

17ST .408T-.408-.829

18SM .580M.420.850

19SM**.432T.5681.147

20SM**.432T.5681.147

21ST .408T-.408-.829

22ST .338T-.338-.714

23SM .580M.420.850

24SM**.481T.5191.038

25SM .513M.487.974

26ST .439T-.439-.884

27SM .657M.343.722

28ST .488T-.488-.976

29SM .563M.437.882

30ST**.538M-.538-1.079

31ST**.587M-.587-1.192

32ST**.513M-.513-1.026

33SM .634M.366.759

34ST .390T-.390-.800

35SM .634M.366.759

36ST**.513M-.513-1.026

37SM .538M.462.927

38SM .634M.366.759

39SM .721M.279.622

40ST**.538M-.538-1.079

41ST**.611M-.611-1.253

42SM .611M.389.798

43SM .538M.462.927

44SM .634M.366.759

45ST**.611M-.611-1.253

46ST .463T-.463-.929

47ST .488T-.488-.976

48SM**.367T.6331.314

49ST**.657M-.657-1.385

50SM .563M.437.882

51SM**.241T.7591.773

52SM**.463T.5371.077

53SM .657M.343.722

54ST .463T-.463-.929

55ST .488T-.488-.976

56SM**.390T.6101.250

57ST**.611M-.611-1.253

58ST .488T-.488-.976

59ST**.563M-.563-1.134

60SM .679M.321.687

61SM**.367T.6331.314

62SM**.463T.5371.077

63SM .513M.487.974

64ST**.794M-.794-1.963

65SM .538M.462.927

66ST**.611M-.611-1.253

67ST**.513M-.513-1.026

68ST**.679M-.679-1.455

69ST .344T-.344-.724

70SM**.488T.5121.024

71ST**.538M-.538-1.079

72SM**.439T.5611.132

73ST .194T-.194-.490

74ST .245T-.245-.569

75ST .194T-.194-.490

76ST .194T-.194-.490

77ST .227T-.227-.541

78SM**.227T.7731.847

79ST .227T-.227-.541

80ST .245T-.245-.569

81ST .194T-.194-.490

82ST .245T-.245-.569

83ST .194T-.194-.490

84ST .164T-.164-.444

85ST .227T-.227-.541

86ST .425T-.425-.860

87ST .450T-.450-.904

88ST .310T-.310-.670

89ST .269T-.269-.606

90SM .667M.333.706

91ST .354T-.354-.740

92ST .269T-.269-.606

93ST .198T-.198-.497

94ST .289T-.289-.637

95ST .401T-.401-.818

96ST .289T-.289-.637

97ST .332T-.332-.704

98ST .269T-.269-.606

99ST .401T-.401-.818

100ST .450T-.450-.904

101ST .168T-.168-.450

102ST .354T-.354-.740

103ST .289T-.289-.637

104SM**.214T.7861.915

105SM**.231T.7691.822

106ST .269T-.269-.606

107SM**.250T.7501.734

108ST .269T-.269-.606

109SM**.310T.6901.493

110ST .310T-.310-.670

111SM**.450T.5501.106

112SM**.269T.7311.649

113SM**.269T.7311.649

114ST .425T-.425-.860

115SM**.310T.6901.493

116ST .269T-.269-.606

117SM .574M.426.862

118ST .377T-.377-.778

119SM**.425T.5751.163

120SM**.354T.6461.351

121ST .332T-.332-.704

122ST .250T-.250-.577

123SM**.450T.5501.106

124SM**.401T.5991.223

125SM**.401T.5991.223

126ST .214T-.214-.522

127ST .269T-.269-.606

128ST .354T-.354-.740

129SM**.401T.5991.223

130SM**.401T.5991.223

a. S = Selected, U = Unselected cases, and ** = Misclassified cases.

1. DeterminasiRata-rata dari kedua R-square (Cox&Snell R-Square dan Nagelkerke R-Square) pada model summary adalah sebesar (9,7%)Berarti, kemampuan variabel independen menjelaskan variabel dependen sebesar 9,7%. Sisanya 90,3% dijelaskan oleh variabel lain.2. Uji Hosmer-Lemeshow H0: Model estimasi signifikan fitH1: Model estimasi tidak signifikan fitSignificant value 0,897 > 0,05.Berarti H0 diterima, model estimasi signifikan fit, layak digunakan.3. Classification DataKetepatan data dalam estimasi fit sebesar 62,3%4. Uji Signifikan variabelH01 umur tidak berpengaruh terhadap keputusan responden membeli mobilH11 umur responden berpengaruh terhadap keputusan responden membeli mobilH02 Jenis Kelamin responden tidak berpengaruh terhadap keputusan responden membeli mobilH12 Jenis Kelamin responden berpengaruh terhadap keputusan responden membeli mobilH03 Tingkat pendapatan responden tidak berpengaruh terhadap keputusan responden dalam membeli mobilH13 Tingkat pendapatan responden berpengaruh terhadap keputusan responden dalam membeli mobilX1= 4,575, significant value 0,032