Pengaruh Dana Perimbangan dan Pendapatan Asli Daerah Terhadap Belanja Daerah pada Kabupaten/Kota di Propinsi Aceh dengan Dana Otonomi khusus sebagai Moderator
77 No Nama Kab/Kota a Alokasi Umum Dana Alokasi Khusus Dana Bagi Hasil PAD Dana Otonomi Khusus Belanja Daerah 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010
46
77
76 80 296.088 326.887 385.901
18 Kab. Pidie Jaya 124.564 212.549 231.102 7.794 48.265 35.756 28.921 22.468 23.380 1.827 4.360 4.695
55
69 71 163.021 313.579 404.158
19 Kota Banda Aceh 307.003 313.121 328.074 38.642 40.928 21.352 49.357 43.290 47.603 45.223 50.764 52.249
52
59 59 478.210 516.370 577.142
20 Kota Sabang 184.667 182.454 213.092 23.726 43.004 16.842 37.148 26.336 28.862 18.037 15.144 17.146
47 47 260.818 291.179 330.430
16 Kab. Aceh Jaya 194.370 218.517 202.848 35.286 36.564 24.149 35.556 27.150 28.556 8.683 11.719 15.409 110 118 118 380.506 368.783 389.320
21 Kota Langsa 215.309 228.872 242.249 33.990 38.739 21.625 38.237 29.367 50.756 17.135 12.849 14.314
62
62 61 323.115 340.168 367.750
22 Kota Lhokseumawe 233.316 248.523 268.734 31.203 34.299 19.228 76.552 60.040 140.604 20.605 21.581 19.415
62
60 57 420.783 430.204 401.716
23 Kota Subulussalam 87.982 167.098 163.056 11.368 38.575 25.120 21.388 20.280 21.859 1.515 3.055 3.362
64
77 79 152.640 243.309 277.082 Sumber : BPS Provinsi Aceh 2012
Lampiran 1
Data Realisasi Dana Perimbangan, PAD, Otonomi Khusus dan Belanja Daerah kab/kota Propinsi Aceh
17 Kab. Bener Meriah 223.798 227.315 235.969 41.141 32.179 30.455 33.014 24.086 26.556 7.880 4.890 9.689
15 Kab. Nagan Raya 277.010 324.209 291.227 43.636 40.538 29.731 34.790 28.465 30.474 12.643 12.328 11.007 119 115 104 376.040 400.503 423.547
1 Kab. Simeulue 205.554 209.826 218.814 52.610 45.413 33.836 32.282 23.446 25.110 7.880 10.665 7.987
93 91 436.721 478.149 539.205
90
86 87 290.751 349.488 307.811
2 Kab. Aceh Singkil 161.828 209.179 213.929 47.216 48.132 34.193 42.768 23.944 26.317 9.442 5.980 9.441 89 109 98 280.919 298.347 311.022
3 Kab. Aceh Selatan 277.663 326.495 339.307 38.994 43.527 38.481 35.727 27.541 29.706 11.679 16.265 17.586 116 116 119 453.577 444.801 478.408
4 Kab. Aceh Tenggara 278.293 284.714 302.146 44.449 39.939 33.639 39.282 25.029 27.202 6.656 6.235 8.707 102 112 112 371.603 386.789 454.019
5 Kab. Aceh Timur 325.532 358.650 380.411 57.761 51.143 51.424 108.517 86.164 91.455 14.311 8.767 8.543 158 169 161 531.868 577.635 658.526
6 Kab. Aceh tengah 300.340 317.748 316.233 52.154 40.875 32.281 37.204 28.665 30.420 30.367 21.970 18.536 114 113 115 444.281 440.940 474.811
7 Kab. Aceh Barat 303.464 315.644 316.983 48.574 45.487 33.670 34.633 26.997 28.445 28.344 14.580 18.303
94
8 Kab. Aceh Besar 407.952 398.133 409.155 52.984 48.972 40.027 38.789 31.888 32.845 21.167 27.151 26.605 98 103 107 544.593 564.404 611.051
88 99 477.055 451.976 437.578
9 Kab. Pidie 355.255 417.374 447.302 59.091 58.774 46.611 40.686 26.119 27.862 12.463 15.924 15.849 93 122 112 485.823 543.943 603.529
10 Kab. Bireuen 381.777 391.961 392.799 57.593 46.947 51.206 53.360 39.936 42.744 50.127 41.039 9.834
92 95 100 594.979 542.078 552.922
11 Kab. Aceh Utara 224.975 226.981 245.999 49.415 50.372 66.590 447.244 253.945 296.084 79.721 79.925 31.192 101 115 128 1.348.719 ######## 868.282
12 Kab. Aceh Barat Daya 226.925 231.872 239.697 40.199 38.035 29.884 35.369 25.527 27.707 9.038 7.120 6.910
78
89 86 340.009 302.043 327.441
13 Kab. Gayo Lues 226.716 252.883 241.586 31.888 36.215 27.881 35.394 28.366 30.555 4.726 6.430 7.896 151 148 145 302.034 362.468 380.380
14 Kab. Aceh Tamiang 237.709 259.596 244.271 42.823 45.640 35.374 99.548 76.052 84.006 10.611 10.081 20.814
94
(juta rupiah)
Universitas Sumatera UtaraLampiran 2 Deskripsi Statistik
DESCRIPTIVES VARIABLES=DAU DAK DBH PAD Otsus BD /STATISTICS=MEAN STDDEV
MIN MAX.Descriptives Notes
Output Created 06-May-2013 22:41:26 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling
Definition of Missing User defined missing values are treated as missing. Cases Used All non-missing data are used. Syntax DESCRIPTIVES
VARIABLES=DAU DAK DBH PAD Otsus BD /STATISTICS=MEAN STDDEV MIN MAX.
Resources Processor Time 0:00:00.000 Elapsed Time 0:00:00.016
[DataSet0] Descriptive Statistics
N Minimum Maximum Mean Std. Deviation DAU 69 87982.00 447302.00 269140.5652 74547.28631 DAK
69 7794.00 66590.00 39339.9130 11465.24886 DBH 69 20280.00 447244.00 52753.2609 66545.68814 PAD
69 1515.00 79925.00 17310.0145 15755.78066 Otsus
69 46.00 169.00 95.5652 28.51237 BD 69 152640.00 1348719.00 443050.3333 1.93815E5 Valid N (listwise)
69
Lampiran 3 Uji Normalitas Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
Regression Notes
Output Created 28-May-2013 22:12:56 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
Resources Processor Time 0:00:01.469 Elapsed Time 0:00:01.500 Memory Required 2308 bytes Additional Memory Required 888 bytes for Residual Plots
Variables Created or Modified ZRE_1 Standardized Residual
79
[DataSet0] Variables Entered/Removed
Variables Variables Model Method
Entered Removed PAD, DAK, DAU, 1 . Enter
a
DBH a. All requested variables entered.
b
Model SummaryAdjusted R Std. Error of the Model R R Square
Square Estimate
a
1 .953 .908 .902 60628.71044
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
b ANOVA
Sum of Mean Model df F Sig. Squares Square
a
1 Regression 2.319E12 4 5.798E11 157.727 .000 Residual 2.353E11 64 3.676E9 Total 2.554E12
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
a Coefficients
Standardized Unstandardized Coefficients
Coefficients Model B Std. Error Beta t Sig.
(Constant) 19531.076 30882.755 .632 .529 DAU .861 .130 .331 6.639 .000
1 DAK .844 .815 .050 1.036 .304 DBH 1.834 .162 .630 11.323 .000
PAD 3.568 .669 .290 5.335 .000
a. Dependent Variable: BD
a Residuals Statistics Std.
Minimum Maximum Mean N Deviation
Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5
69 58818.4887
Residual -1.92663E5 2.71740E5 .00000
69
2 Std. Predicted Value -1.589 4.964 .000 1.000
69 Std. Residual -3.178 4.482 .000 .970
69
a. Dependent Variable: BD
Charts
NPAR TESTS /K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS.
NPar Tests Notes
Output Created 28-May-2013 22:13:35 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling
Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS.
Resources Processor Time 0:00:00.000 Elapsed Time 0:00:00.000 Number of Cases Allowed
a
196608 a. Based on availability of workspace memory. Most Extreme Differences Absolute .089 Positive .089 Negative -.088 Kolmogorov-Smirnov Z .739 Asymp. Sig. (2-tailed) .646 a. Test distribution is Normal.
[DataSet0] One-Sample Kolmogorov-Smirnov Test
Standardized Residual
N
69 Normal Parameters
a,,b
Mean .0000000 Std. Deviation .97014250
b. Calculated from data.
Lampiran 4
Uji Multikolinearitas dan Autokorelasi Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU
DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID)
/SAVE ZRESID.Regression
Notes
Output Created 28-May-2013 22:20:22 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
79 Resources Processor Time 0:00:01.500 Elapsed Time
0:00:01.577 Memory Required 2308 bytes Additional Memory Required for 888 bytes Residual Plots
Variables Created or ZRE_1 Standardized Residual Modified
[DataSet0] Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 PAD, DAK, DAU, . Enter
a
DBH a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .953 .908 .902 60628.71044
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.319E12 4 5.798E11 157.727 .000 Residual 2.353E11 64 3.676E9 Total 2.554E12
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
a Coefficients
Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 19531.076 30882.755 .632 .529 DAU .861 .130 .331 6.639 .000 DAK .844 .815 .050 1.036 .304 DBH 1.834 .162 .630 11.323 .000 PAD 3.568 .669 .290 5.335 .000
a. Dependent Variable: BD
a Coefficients
Collinearity Statistics Model Tolerance
VIF
1 DAU .578 1.730 DAK .620 1.614 DBH .465 2.149 PAD .487 2.055
a. Dependent Variable: BD
a Collinearity Diagnostics
Dimensi Model on Eigenvalue Condition Index
1 1 4.151 1.000 2 .601 2.628 3 .183 4.757 4 .039 10.382 5 .026 12.588
a. Dependent Variable: BD
Collinearity Diagnostics a
Model Dimensi on
Variance Proportions (Constant) DAU DAK DBH PAD
1 1 .00 .00 .00 .01 .01 2 .01 .01 .01 .25 .06 3 .01 .00 .01 .47 .75 4 .85 .03 .48 .00 .00 5 .13 .96 .50 .27 .18
a. Dependent Variable: BD
Residuals Statistics
aMinimum Maximum Mean Std. Deviation N Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5
69 Residual -1.92663E5 2.71740E5 .00000 58818.48872
69 Std. Predicted Value -1.589 4.964 .000 1.000
69 Std. Residual -3.178 4.482 .000 .970
69
a. Dependent Variable: BD
Charts
NPAR TESTS /K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS.
NPar Tests Notes
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS. Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.000 Number of Cases Allowed
a
Output Created 28-May-2013 22:13:35 Comments
[DataSet0] One-Sample Kolmogorov-Smirnov Test
Standardized Residual
N
69 Normal Parameters
a,,b
Mean .0000000 Std. Deviation .97014250
Most Extreme Differences Absolute .089
196608 a. Based on availability of workspace memory.
Positive .089 Negative -.088 Kolmogorov-Smirnov Z .739 Asymp. Sig. (2-tailed) .646 a. Test distribution is Normal.
b. Calculated from data.
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS DURBIN.Regression Notes
Output Created 28-May-2013 22:27:42 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS DURBIN.
Resources Processor Time 0:00:00.516 Elapsed Time 0:00:00.546 Memory Required 2308 bytes Additional Memory Required 216 bytes for Residual Plots
[DataSet0] Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 PAD, DAK, DAU, . Enter
a
DBH a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson
a
1 .953 .908 .902 60628.71044 1.882
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
b
ANOVA Model Sum of Squares df Mean Square F Sig. a1 Regression 2.319E12 4 5.798E11 157.727 .000 Residual 2.353E11 64 3.676E9 Total 2.554E12
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
a Coefficients
Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 19531.076 30882.755 .632 .529 DAU .861 .130 .331 6.639 .000 DAK .844 .815 .050 1.036 .304 DBH 1.834 .162 .630 11.323 .000 PAD 3.568 .669 .290 5.335 .000
a. Dependent Variable: BD
a
Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5
69 Residual -1.92663E5 2.71740E5 .00000 58818.48872
69 Std. Predicted Value -1.589 4.964 .000 1.000
69 Std. Residual -3.178 4.482 .000 .970
69
a. Dependent Variable: BD
Charts
Lampiran 5
Uji Heteroskedastisitas Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN.Regression Notes
Output Created 28-May-2013 22:32:40 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN.
89 Resources Processor Time 0:00:00.500 Elapsed Time 0:00:00.515 Memory Required 2308 bytes Additional Memory Required 216 bytes for Residual Plots
[DataSet0] Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 PAD, DAK, DAU, . Enter
a
DBH a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson
a
1 .953 .908 .902 60628.71044 1.882
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.319E12 4 5.798E11 157.727 .000 Residual 2.353E11 64 3.676E9 Total 2.554E12
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 19531.076 30882.755 .632 .529 DAU .861 .130 .331 6.639 .000 DAK .844 .815 .050 1.036 .304 DBH 1.834 .162 .630 11.323 .000 PAD 3.568 .669 .290 5.335 .000
a. Dependent Variable: BD
a
Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5
69 Std. Predicted Value -1.589 4.964 .000 1.000
69 Standard Error of Predicted 7945.627 44725.371 14881.169 6751.043
69 Value Adjusted Predicted Value 149068.9688 1.3730E6 443092.5238 1.83252E5
69 Residual -1.92663E5 2.71740E5 .00000 58818.48872
69 Std. Residual -3.178 4.482 .000 .970
69 Stud. Residual -3.511 5.372 .000 1.070
69 Deleted Residual -2.35170E5 3.90306E5 -42.19049 72302.31044
69 Stud. Deleted Residual -3.877 7.192 .021 1.235
69 Mahal. Distance .182 36.019 3.942 5.560
69 Cook's Distance .000 2.518 .054 .309
69 Centered Leverage Value .003 .530 .058 .082
69
a. Dependent Variable: BD
Charts
NEW FILE. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT logBD /METHOD=ENTER
logDAU logDAK logDBH logPAD /SCATTERPLOT=(*SRESID ,*ZPRED).Regression Notes
Output Created 28-May-2013 22:38:49 Comments
Input Active Dataset DataSet1 Filter <none> Weight <none>
Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT logBD /METHOD=ENTER logDAU logDAK logDBH logPAD /SCATTERPLOT=(*SRESID ,*ZPRED).
Resources Processor Time 0:00:00.515 Elapsed Time 0:00:00.514 Memory Required 2308 bytes Additional Memory Required 216 bytes for Residual Plots
[DataSet1] Variables Entered/Removed
Variables Variables Model Entered Removed Method 1 logPAD, logDAK, . Enter logDBH,
a
logDAU a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .922 .850 .840 .06257
a. Predictors: (Constant), logPAD, logDAK, logDBH, logDAU
b. Dependent Variable: logBD
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 1.418 4 .355 90.556 .000 Residual .251 64 .004 Total 1.669
68
a. Predictors: (Constant), logPAD, logDAK, logDBH, logDAU
b. Dependent Variable: logBD
a Coefficients
Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) .633 .381 1.659 .102 logDAU .501 .085 .407 5.905 .000 logDAK .127 .060 .129 2.126 .037 logDBH .268 .035 .459 7.643 .000 logPAD .112 .032 .245 3.504 .001
a. Dependent Variable: logBD
Residuals Statistics a
69 Deleted Residual -.19095 .24758 .00082 .06976
a. Dependent Variable: logBD
69
69 Centered Leverage Value .002 .308 .058 .063
69 Cook's Distance .000 .655 .033 .117
69 Mahal. Distance .146 20.925 3.942 4.257
69 Stud. Deleted Residual -2.879 3.897 .012 1.074
69 Stud. Residual -2.728 3.526 .006 1.037
Minimum Maximum Mean Std. Deviation N Predicted Value 5.1412 5.9734 5.6163 .14442
69 Std. Residual -2.438 3.142 .000 .970
69 Residual -.15258 .19662 .00000 .06071
69 Adjusted Predicted Value 5.1272 5.9140 5.6155 .14210
.008 .036 .016 .006
69 Standard Error of Predicted Value
69 Std. Predicted Value -3.290 2.472 .000 1.000
Charts
SAVE OUTFILE='D:\bahan kuliah\proposal tesis dian\proposal\data transformasi log.sav' /COMPRESSED. DATASET ACTIVATE DataSet0. DATASET CLOSE DataSet1. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN /SAVE RESID.
Regression Notes
Output Created 28-May-2013 22:41:49 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN /SAVE RESID.
Resources Processor Time 0:00:00.515
Elapsed Time 0:00:00.531 Memory Required 2308 bytes Additional Memory Required 216 bytes for Residual Plots
Variables Created or RES_1 Unstandardized Residual Modified
[DataSet0] Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 PAD, DAK, DAU, . Enter
a
DBH a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson
a
1 .953 .908 .902 60628.71044 1.882
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.319E12 4 5.798E11 157.727 .000 Residual 2.353E11 64 3.676E9 Total 2.554E12
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 19531.076 30882.755 .632 .529 DAU .861 .130 .331 6.639 .000 DAK .844 .815 .050 1.036 .304 DBH 1.834 .162 .630 11.323 .000 PAD 3.568 .669 .290 5.335 .000
a. Dependent Variable: BD
a
Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5
69 Std. Predicted Value -1.589 4.964 .000 1.000
69 Standard Error of Predicted 7945.627 44725.371 14881.169 6751.043
69 Value Adjusted Predicted Value 149068.9688 1.3730E6 443092.5238 1.83252E5
69 Residual -1.92663E5 2.71740E5 .00000 58818.48872
69 Std. Residual -3.178 4.482 .000 .970
69 Stud. Residual -3.511 5.372 .000 1.070
69 Deleted Residual -2.35170E5 3.90306E5 -42.19049 72302.31044
69 Stud. Deleted Residual -3.877 7.192 .021 1.235
69 Mahal. Distance .182 36.019 3.942 5.560
69 Cook's Distance .000 2.518 .054 .309
69 Centered Leverage Value .003 .530 .058 .082
69
a. Dependent Variable: BD
Charts
COMPUTE U2=RES_1 * RES_1. EXECUTE. COMPUTE LnDAU=LN(DAU). EXECUTE.
COMPUTE LnDAK=LN(DAK). EXECUTE. COMPUTE LnDBH=LN(DBH). EXECUTE. COMPUTE
LnPAD=LN(PAD). EXECUTE. COMPUTE LnU2=LN(U2). EXECUTE. REGRESSION /MISSINGLISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT LnU2 /METHOD=ENTER LnDAU LnDAK LnDBH LnPAD
/SCATTERPLOT=(*SRESID ,*ZPRED).Regression Notes
Output Created 28-May-2013 22:48:59 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT LnU2 /METHOD=ENTER LnDAU LnDAK LnDBH LnPAD /SCATTERPLOT=(*SRESID ,*ZPRED).
Resources Processor Time 0:00:00.547
Elapsed Time 0:00:00.563 Memory Required 2444 bytes Additional Memory Required 216 bytes for Residual Plots
[DataSet0] Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 LnPAD, LnDAK, . Enter
a
LnDBH, LnDAU a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .362 .131 .077 2.38906
Lampiran 6 Hasil Pengujian Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /SAVE RESID.
Regression Notes
Output Created 29-May-2013 00:56:06 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /SAVE RESID.
102 Resources Processor Time 0:00:00.360 Elapsed Time 0:00:00.390 Memory Required 2324 bytes Additional Memory Required 216 bytes for Residual Plots
Variables Created or RES_1 Unstandardized Residual Modified
[DataSet0] Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 PAD, DAK, DAU, . Enter
a
DBH a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .953 .908 .902 60628.71044
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.319E12 4 5.798E11 157.727 .000 Residual 2.353E11 64 3.676E9 Total 2.554E12
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 19531.076 30882.755 .632 .529 DAU .861 .130 .331 6.639 .000 DAK .844 .815 .050 1.036 .304 DBH 1.834 .162 .630 11.323 .000 PAD 3.568 .669 .290 5.335 .000
a. Dependent Variable: BD
a
Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5
69 Std. Predicted Value -1.589 4.964 .000 1.000
69 Standard Error of Predicted 7945.627 44725.371 14881.169 6751.043
69 Value Adjusted Predicted Value 149068.9688 1.3730E6 443092.5238 1.83252E5
69 Residual -1.92663E5 2.71740E5 .00000 58818.48872
69 Std. Residual -3.178 4.482 .000 .970
69 Stud. Residual -3.511 5.372 .000 1.070
69 Deleted Residual -2.35170E5 3.90306E5 -42.19049 72302.31044
69 Stud. Deleted Residual -3.877 7.192 .021 1.235
69 Mahal. Distance .182 36.019 3.942 5.560
69 Cook's Distance .000 2.518 .054 .309
69 Centered Leverage Value .003 .530 .058 .082
69
a. Dependent Variable: BD
Charts
COMPUTE ABRES=ABS(RES_1). EXECUTE. REGRESSION /MISSING LISTWISE /STATISTICS
COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT
ABRES /METHOD=ENTER BD /SCATTERPLOT=(*SRESID ,*ZPRED) /SAVE RESID.Regression
Notes
Output Created 29-May-2013 00:58:06 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT ABRES /METHOD=ENTER BD /SCATTERPLOT=(*SRESID ,*ZPRED) /SAVE RESID.
Resources Processor Time 0:00:00.422 Elapsed Time 0:00:00.437 Memory Required 1476 bytes Additional Memory Required 240 bytes for Residual Plots
Variables Created or RES_2 Unstandardized Residual Modified
[DataSet0] b Variables Entered/Removed
Variables Variables Model Entered Removed Method
a
1 BD . Enter a. All requested variables entered.
b. Dependent Variable: ABRES
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .445 .198 .186 38475.00839
a. Predictors: (Constant), BD
b. Dependent Variable: ABRES
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.445E10 1 2.445E10 16.514 .000 Residual 9.918E10 67 1.480E9 Total 1.236E11
68
a. Predictors: (Constant), BD
b. Dependent Variable: ABRES
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) -3121.078 11628.035 -.268 .789 BD .098 .024 .445 4.064 .000
a. Dependent Variable: ABRES
a
Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 11811.3291 128820.8828 40221.4784 18960.48079
69 Std. Predicted Value -1.498 4.673 .000 1.000
69 Standard Error of Predicted 4631.941 22289.049 5879.185 2909.619
69 Value Adjusted Predicted Value 12017.1719 188300.6875 40224.9931 21832.96406
69 Residual -1.17753E5 1.56485E5 .00000 38191.05611
69 Std. Residual -3.061 4.067 .000 .993
69 Stud. Residual -3.755 4.611 .000 1.075
69 Deleted Residual -1.77233E5 2.10398E5 -3.51476 45511.34489
69 Stud. Deleted Residual -4.194 5.540 .017 1.193
69 Mahal. Distance .000 21.835 .986 3.432
69 Cook's Distance .000 4.319 .120 .668
69 Centered Leverage Value .000 .321 .014 .050
69
a. Dependent Variable: ABRES
Charts
Lampiran 7 Uji Normalitas Hipotesis Kedua Notes
109
Output Created 13-Jun-2013 11:27:00 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
1 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER DAU DAK DBH PAD /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
Resources Processor Time 0:00:00.031 Elapsed Time 0:00:00.031 Memory Required 2324 bytes Additional Memory Required for Residual Plots
632 bytes Variables Created or Modified
ZRE_1 Standardized Residual REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER DAU DAK DBH PAD /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
Regression Notes
Output Created 13-Jun-2013 11:28:18 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data
69 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER DAU DAK DBH PAD /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
Resources Processor Time 0:00:01.422 Elapsed Time 0:00:01.812 Memory Required 2324 bytes Additional Memory Required 632 bytes for Residual Plots
Notes
Output Created 13-Jun-2013 11:28:18 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER DAU DAK DBH PAD /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
Resources Processor Time 0:00:01.422 Elapsed Time 0:00:01.812 Memory Required 2324 bytes Additional Memory Required for Residual Plots
632 bytes Variables Created or Modified
ZRE_1 Standardized Residual
[DataSet0]
Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 PAD, DAK, DAU, . Enter
a
DBH a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .627 .393 .355 22.89941
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 21720.438 4 5430.109 10.355 .000 Residual 33560.519 64 524.383 Total 55280.957
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
a Coefficients
Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 33.893 11.664 2.906 .005 DAU .000 .000 .454 3.542 .001 DAK .001 .000 .224 1.808 .075 DBH .000 .000 .450 3.154 .002 PAD .000 .000 -.546 -3.911 .000
a. Dependent Variable: Otsus
a Coefficients
Collinearity Statistics Model Tolerance
VIF
1 DAU .578 1.730 DAK .620 1.614 DBH .465 2.149 PAD .487 2.055
a. Dependent Variable: Otsus
a Collinearity Diagnostics
Dimensi Model on Eigenvalue Condition Index
1 1 4.151 1.000 2 .601 2.628 3 .183 4.757 4 .039 10.382 5 .026 12.588
a. Dependent Variable: Otsus
a Collinearity Diagnostics
Variance Proportions Dimensi
Model on (Constant) DAU DAK DBH PAD
1 1 .00 .00 .00 .01 .01 2 .01 .01 .01 .25 .06 3 .01 .00 .01 .47 .75 4 .85 .03 .48 .00 .00 5 .13 .96 .50 .27 .18
a. Dependent Variable: Otsus
a Residuals Statistics
Minimum Maximum Mean Std. Deviation N Predicted Value 58.1174 139.9440 95.5652 17.87227
69 Residual -42.17504 57.85869 .00000 22.21569
69 Std. Predicted Value -2.095 2.483 .000 1.000
69 Std. Residual -1.842 2.527 .000 .970
69
a. Dependent Variable: Otsus
Charts
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER DAU DAK DBH PAD /SAVE ZRESID.
Regression Notes
Output Created 13-Jun-2013 11:50:25 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER DAU DAK DBH PAD /SAVE ZRESID.
Resources Processor Time 0:00:00.031 Elapsed Time 0:00:00.048 Memory Required 2324 bytes Additional Memory Required for Residual Plots
0 bytes
Notes
Output Created 13-Jun-2013 11:50:25 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER DAU DAK DBH PAD /SAVE ZRESID.
Resources Processor Time 0:00:00.031 Elapsed Time 0:00:00.048 Memory Required 2324 bytes Additional Memory Required for Residual Plots
0 bytes Variables Created or Modified
ZRE_1 Standardized Residual
[DataSet0]
Variables Entered/Removed
Variables Variables Model Entered Removed Method
1 PAD, DAK, DAU, . Enter
a
DBH a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .627 .393 .355 22.89941
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 21720.438 4 5430.109 10.355 .000 Residual 33560.519 64 524.383 Total 55280.957
68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
a Coefficients
Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 33.893 11.664 2.906 .005 DAU .000 .000 .454 3.542 .001 DAK .001 .000 .224 1.808 .075 DBH .000 .000 .450 3.154 .002 PAD .000 .000 -.546 -3.911 .000
a. Dependent Variable: Otsus
Residuals Statistics a
Minimum Maximum Mean Std. Deviation N Predicted Value 58.1174 139.9440 95.5652 17.87227
69 Residual -42.17504 57.85869 .00000 22.21569
69 Std. Predicted Value -2.095 2.483 .000 1.000
69 Std. Residual -1.842 2.527 .000 .970
69
NPar Tests
Output Created 13-Jun-2013 11:51:07 Comments
Notes
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS.
Resources Processor Time 0:00:00.031 Elapsed Time
0:00:00.015 Number of Cases Allowed
a
196608
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
Notes
Output Created 13-Jun-2013 11:51:07 Comments
Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File
69 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS. Resources Processor Time 0:00:00.031
Elapsed Time 0:00:00.015
Number of Cases Allowed
a
196608 a. Based on availability of workspace memory.
[DataSet0] One-Sample Kolmogorov-Smirnov Test
Standardized Residual N
69 Normal Parameters a,,b Mean .0000000 Std. Deviation .97014250
Most Extreme Differences Absolute .103 Positive .103 Negative -.057 Kolmogorov-Smirnov Z .855 Asymp. Sig. (2-tailed) .457 a. Test distribution is Normal.
b. Calculated from data.