Lampiran 1
Rekap Data Keuangan Kabupaten/Kota di Provinsi Sumatera Utara Periode
2010-2014
2 Humbang Hasundutan 68.4792 7.1467 6.9909 2,652,189.05
61.8049 3.9927 9.1243 23,150,800.00 329,542.7947 1.1794 6.4092 6 Padang Lawas Utara 71.5390 8.9268 8.9530 4,865,142.00
7 Pakpak bharat 71.7208 10.5203 10.5658 506,986.03 9 Simalungun 66.4177 6.3937 6.4853 17,011,370.00 148,924.3211 2.5026 4.6629 64.5494 6.8557 5.4175 18,024,800.00 132,102.4326 6.3972 3.9443 62.0522 6.5156 4.6740 19,117,540.00 314,891.5381 8.1266 4.3916 66.6006 5.5017 4.1225 20,124,060.00 234,348.4654 4.9819 6.6692 65.5519 4.7470 4.2093 21,197,540.00 226,370.7747 5.6160 5.8615
10 Tapanuli Utara 65.5369 8.5221 4.9713 3,831,818.73 11 Tapanuli Selatan 64.6599 8.0155 7.0862 5,302,511.40 108,628.6307 3.0274 5.8909
137,835.7630
62.4497 3.9269 3.2986 7,596,872.80 112,533.3689 0.3912 10.8778 17 Padang Sidimpuan 71.9048 5.4998 7.0350 2,634,123.50
27,867.2894 0.4739 3.8870
64.5650 5.3596 5.0296 2,788,163.20
75,776.3742 0.1066 4.4995
67.5198 4.4381 6.0729 2,952,717.70
98,758.7653 0.7113 4.3707 67.6360 6.3852 4.1224 3,120,264.90 117,216.9188 2.0860 5.5959 66.7191 5.4370 2.9997 3,276,832.20 104,032.3279 0.6380 8.3301
18 Binjai 66.4029 5.6173 9.2902 4,960,424.60
Lampiran 2 Output Uji Normalitas
1.
Metode Grafik (Histogram)
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 90
Normal Parametersa,b Mean .0000000
Std. Deviation 2.22689849
Most Extreme Differences Absolute .052
Positive .052
Negative -.034
Kolmogorov-Smirnov Z .489
Asymp. Sig. (2-tailed) .970
a. Test distribution is Normal.
Lampiran 3 Output Uji Heteroskedastisitas
1.
Hasil Uji Grafik Plot
2.
Hasil Uji Gletser
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
T Sig.
B Std. Error Beta
1 (Constant) 5.341 2.293 2.330 .022
DAU -.057 .032 -.326 -1.792 .077
DAK -.038 .072 -.061 -.533 .596
DBH .012 .051 .024 .226 .822
WEALTH -6.089E-10 .000 -.011 -.043 .966
BMODAL 1.814E-6 .000 .185 .815 .417
LEVERAGE -.127 .076 -.159 -1.675 .098
Lampiran 4 Hasil Uji Autokorelasi
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate Durbin-Watson
1 .954a .910 .904 2.30598 .995
a. Predictors: (Constant), LEVERAGE, DBH, DAK, BMODAL, DAU, WEALTH
b. Dependent Variable: KKD
Lampiran 5 Hasil Uji Multikolinearitas
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 13.755 4.360 3.155 .002
DAU -.077 .060 -.082 -1.279 .204 .266 3.761
DAK -.219 .136 -.065 -1.605 .112 .667 1.499
DBH -.467 .097 -.182 -4.806 .000 .753 1.328
WEALTH 3.135E-7 .000 1.029 11.589 .000 .137 7.275
BMODAL -9.074E-6 .000 -.171 -2.143 .035 .170 5.877
LEVERAGE -.595 .145 -.137 -4.119 .000 .978 1.022
Lampiran 6 Output Regresi Linear Berganda
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 LEVERAGE, DBH,
DAK, BMODAL,
DAU, WEALTH
. Enter
a. All requested variables entered.
b. Dependent Variable: KKD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 4468.007 6 744.668 140.039 .000a
Residual 441.358 83 5.318
Total 4909.365 89
a. Predictors: (Constant), LEVERAGE, DBH, DAK, BMODAL, DAU, WEALTH
b. Dependent Variable: KKD
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .954a .910 .904 2.30598
a. Predictors: (Constant), LEVERAGE, DBH, DAK, BMODAL, DAU,
WEALTH
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 13.755 4.360 3.155 .002
DAU -.077 .060 -.082 -1.279 .204 .266 3.761
DAK -.219 .136 -.065 -1.605 .112 .667 1.499
DBH -.467 .097 -.182 -4.806 .000 .753 1.328
WEALTH 3.135E-7 .000 1.029 11.589 .000 .137 7.275
BMODAL -9.074E-6 .000 -.171 -2.143 .035 .170 5.877
LEVERAGE -.595 .145 -.137 -4.119 .000 .978 1.022
