Lampiran 2. Hasil Analisis Pengaruh Karakteristik Konsumen
Terhadap Jumlah konsumsi Beras.
Model Summaryb
Model R R Square Adjusted R Square
Std. Error of the
Estimate Durbin-Watson
1 .589a .347 .319 7.54319 1.674
a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun) b. Dependent Variable: Jumlah(Kg/Bulan)
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2871.481 4 717.870 12.616 .000a
Residual 5405.479 95 56.900
Total 8276.960 99
a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun) b. Dependent Variable: Jumlah(Kg/Bulan)
Coefficientsa a. Dependent Variable: Jumlah(Kg/Bulan)
Collinearity Diagnosticsa
Model Dimension Eigenvalue
Condition Index
Variance Proportions
(Constant)
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 4.6256 32.7083 18.4800 5.38562 100 Std. Predicted Value -2.572 2.642 .000 1.000 100 Standard Error of Predicted
Value
.899 4.026 1.592 .560 100
Adjusted Predicted Value 3.9430 33.3877 18.4294 5.30432 100 Residual -14.75623 20.20233 .00000 7.38924 100
Std. Residual -1.956 2.678 .000 .980 100
Stud. Residual -2.024 2.816 .003 1.012 100
Deleted Residual -15.79015 25.11725 .05063 7.90851 100 Stud. Deleted Residual -2.058 2.926 .006 1.022 100
Mahal. Distance .415 27.218 3.960 4.213 100
Cook's Distance .000 .632 .015 .064 100
Hasil Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 100
Normal Parametersa,,b Mean .0000000
Std. Deviation 7.38923560
Most Extreme Differences Absolute .070
Positive .070
Negative -.043
Kolmogorov-Smirnov Z .698
Asymp. Sig. (2-tailed) .714
a. Test distribution is Normal.
Hasil Uji Multikolinearitas
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Collinearity
Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) -7.804 6.569 -1.188 .238
Usia (Tahun) .231 .090 .218 2.553 .012 .943 1.060
Pendidikan
(Tahun)
-.178 .251 -.066 -.711 .479 .792 1.263
Pendapatan
(Rp/Bulan)
3.015E-7 .000 .276 2.947 .004 .787 1.271
JAK (Jiwa) 3.961 .678 .491 5.845 .000 .975 1.025
Hasil Uji Heterokedastisitas
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression .000 4 .000 .000 1.000a
Residual 412032.107 95 4337.180
Total 412032.107 99
a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun)
b. Dependent Variable: Unstandardized Residual
Coefficientsa
a. Dependent Variable: Unstandardized Residual
Hasil Uji Autokorelasi
Model Summaryb
Model R R Square Adjusted R Square
Std. Error of the
Estimate Durbin-Watson
1 .589a .347 .319 7.54319 1.674
a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun)
Lampiran 3 Konsumsi Beras Konsumen Berdasarkan Tingkat
Pendapatan Dengan Atribut Beras.
No Pendapatan
No Pendapatan 4= Kukubalam super 5. Bentuk beras
5= Kukubalam spesial 1= Premium
6= AAA 2= Medium
7= Beras Organik 6. Derajat Putih
8= Beras tanpa gula basta 1= putih
9= Beras pulen 2= Sedang
10= Beras lainnya 3= kuning
2. Kepulenan
1= Pulen 2= Sedang 3= Tidak Pulen
3.Aroma beras
