Lampiran 1 Data Efektivits BPHTB

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Lampiran 1 Data Efektivits BPHTB No Kecamatan Semester 1 Tahun 2011 Semester 2 Tahun 2011 Semester 1 Tahun 2012 Semester 2 Tahun 2012 Realisasi Potensi % Realisasi Potensi % Realisasi Potensi % Realisasi Potensi % 1 Babahrot Rp 13.149.270 Rp 27.816.000 47,27 Rp 15.900.123 Rp 27.816.000 57,16 Rp 16.957.291 Rp 45.900.000 36,94 Rp 23.205.121 Rp 45.900.000 50,56 2 Blangpidie Rp 19.332.929 Rp 49.801.000 38,82 Rp 19.956.262 Rp 49.801.000 40,07 Rp 24.638.906 Rp 54.000.000 45,63 Rp 21.825.408 Rp 54.000.000 40,42 3 Jeumpa Rp 3.937.482 Rp 57.000.000 6,91 Rp 6.613.911 Rp 57.000.000 11,60 Rp 6.702.532 Rp 45.320.000 14,79 Rp 9.386.628 Rp 45.320.000 20,71 4 Kuala Batee Rp 25.095.136 Rp 31.801.000 78,91 Rp 25.807.564 Rp 31.801.000 81,15 Rp 28.826.410 Rp 50.540.000 57,04 Rp 31.754.984 Rp 50.540.000 62,83 5 Lembah Sabil Rp 9.188.912 Rp 21.000.000 43,76 Rp 8.847.730 Rp 21.000.000 42,13 Rp 10.114.588 Rp 32.300.000 31,31 Rp 13.509.570 Rp 32.300.000 41,83 6 Manggeng Rp 4.824.168 Rp 19.800.000 24,36 Rp 4.959.474 Rp 19.800.000 25,05 Rp 6.960.270 Rp 40.650.000 17,12 Rp 7.756.010 Rp 40.650.000 19,08 7 Setia Rp 2.122.833 Rp 13.600.000 15,61 Rp 1.855.701 Rp 13.600.000 13,64 Rp 2.018.344 Rp 25.000.000 8,07 Rp 2.635.391 Rp 25.000.000 10,54 8 Susoh Rp 24.695.196 Rp 52.240.000 47,27 Rp 27.737.465 Rp 52.240.000 53,10 Rp 30.725.665 Rp 54.300.000 56,59 Rp 37.661.205 Rp 54.300.000 69,36 9 Tangan-Tangan Rp 4.073.726 Rp 21.800.000 18,69 Rp 4.575.407 Rp 21.800.000 20,99 Rp 5.060.404 Rp 30.000.000 16,87 Rp 5.360.687 Rp 30.000.000 17,87

Lampiran 2 Data Kontribusi BPHTb No Kecamatan Semester 1 Tahun 2011 Semester 2 Tahun 2011 Semester 1 Tahun 2012 Semester 2 Tahun 2012 Realisasi PAD % Realisasi PAD % Realisasi PAD % Realisasi PAD % 1 Babahrot Rp 13.149.270 Rp 480.927.807 2,73 Rp 15.900.123 Rp 601.500.100 2,64 Rp 16.957.291 Rp 951.023.100 1,78 Rp 23.205.121 Rp 2.312.005.227 1,00 2 Blangpidie Rp 19.332.929 Rp 1.350.798.200 1,43 Rp 19.956.262 Rp 1.765.805.000 1,13 Rp 24.638.906 Rp 3.360.975.000 0,73 Rp 21.825.408 Rp 5.306.200.203 0,41 3 Jeumpa Rp 3.937.482 Rp 221.781.600 1,78 Rp 6.613.911 Rp 354.521.300 1,87 Rp 6.702.532 Rp 650.672.140 1,03 Rp 9.386.628 Rp 717.020.615 1,31 4 Kuala Batee Rp 25.095.136 Rp 429.200.000 5,85 Rp 25.807.564 Rp 743.925.000 3,47 Rp 28.826.410 Rp 1.457.092.000 1,98 Rp 31.754.984 Rp 1.523.102.251 2,08 5 Lembah Sabil Rp 9.188.912 Rp 245.844.600 3,74 Rp 8.847.730 Rp 428.398.000 2,07 Rp 10.114.588 Rp 776.281.000 1,30 Rp 13.509.570 Rp 852.074.234 1,59 6 Manggeng Rp 4.824.168 Rp 428.325.500 1,13 Rp 4.959.474 Rp 571.345.000 0,87 Rp 6.960.270 Rp 865.231.000 0,80 Rp 7.756.010 Rp 1.016.380.340 0,76 7 Setia Rp 2.122.833 Rp 182.250.000 1,16 Rp 1.855.701 Rp 260.875.054 0,71 Rp 2.018.344 Rp 540.484.221 0,37 Rp 2.635.391 Rp 621.231.372 0,42 8 Susoh Rp 24.695.196 Rp 1.020.350.250 2,42 Rp 27.737.465 Rp 1.230.488.000 2,25 Rp 30.725.665 Rp 2.281.580.200 1,35 Rp 37.661.205 Rp 3.620.430.220 1,04 9 Tangan-Tangan Rp 4.073.726 Rp 368.800.870 1,10 Rp 4.575.407 Rp 499.700.200 0,92 Rp 5.060.404 Rp 676.742.400 0,75 Rp 5.360.687 Rp 911.801.120 0,59

LAMPIRAN 3 DESKRIPTIF STATISTIK DESCRIPTIVES VARIABLES=XI X2 Z Y /STATISTICS=MEAN STDDEV VARIANCE RANGE MIN MAX SEMEAN. Descriptives Notes Output Created 01-Jul-2013 15:58:41 Comments Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working 36 Missing Value Handling Definition of Missing User defined missing values are Cases Used All non-missing data are used. Syntax DESCRIPTIVES VARIABLES=XI Resources Processor Time 00:00:00.000 Elapsed Time 00:00:00.000 [DataSet0] Descriptive Statistics N Range Minimum Maximum Mean Std. Deviation Variance Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic XI 36 74.24 6.91 81.15 35.6681 3.41098 20.46586 418.851 X2 36 5.48.37 5.85 1.5711.18344 1.10064 1.211 Z 36 3998.00 2406.00 6404.00 4.4124E3 2.29759E2 1378.55532 1.900E6 Y 36 5124.00 182.00 5306.00 1.1004E3 1.80606E2 1083.63400 1.174E6 Valid N 36

REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2 /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N LAMPIRAN - 4 ANALISIS REGRESI BERGANDA H1 Y 1.1004E3 1083.63400 36 X1 35.6681 20.46586 36 X2 1.5711 1.10064 36 Correlations Y X1 X2 Pearson Correlation Y 1.000.379 -.276 X1.379 1.000.646 X2 -.276.646 1.000 Sig. (1-tailed) Y..011.052 X1.011..000 X2.052.000. N Y 36 36 36 X1 36 36 36 X2 36 36 36 Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 X2, X1 a. Enter a. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1.779 a.607.584 699.24940 1.703 a. Predictors: (Constant), X2, X1 ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 2.496E7 2 1.248E7 25.528.000 a Residual 1.614E7 33 488949.723 Total 4.110E7 35 a. Predictors: (Constant), X2, X1

Model Unstandardized Coefficients Coefficients a Standardized Coefficients Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF 1 (Constant) 677.460 241.252 2.808.008 X1 50.543 7.563.955 6.683.000.583 1.715 X2 a. Dependent Variable: Y -878.274 140.625 -.892-6.245.000.583 1.715 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value -5 3662E2 3 2697E3 1 1004E3 844 54301 36 Std. Predicted Value -1.938 2.569.000 1.000 36 Standard Error of Predicted 119.048 478.016 189.211 71.318 36 Adjusted Predicted Value -1.2627E3 3.1696E3 1.0692E3 897.88012 36 Residual -9.88406E2 2.94569E3.00000 678.97698 36 Std. Residual -1.414 4.213.000.971 36 Stud. Residual -1.554 4.442.020 1.042 36 Deleted Residual -1.19520E3 3.27460E3 3.12031E1 789.87266 36 Stud. Deleted Residual -1.590 6.897.092 1.372 36 Mahal. Distance.042 15.384 1.944 2.789 36 Cook's Distance.000.912.062.191 36 Centered Leverage Value.001.440.056.080 36 a. Dependent Variable: Y Charts

NPAR TESTS /K-S(NORMAL)=RES_6 /MISSING ANALYSIS. HASIL UJI NORMALITAS H1 NPar Tests [DataSet5] One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 36 Normal Parameters a Mean.0000000 Std. Deviation 6.78976979E2 Most Extreme Differences Absolute.222 Positive.222 Negative -.143 Kolmogorov-Smirnov Z 1.332 Asymp. Sig. (2-tailed).058 a. Test distribution is Normal.

COMPUTE AbsUiii=ABS(RES_6). EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT AbsUiii /METHOD=ENTER X1 X2 /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] LAMPIRAN 5 HASIL UJI GLEJSER H1 Coefficients a Unstandardized Standardized Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF 1 (Constan 265.611 180.020 1.475.150 X1 5.440 5.643.216.964.342.583 1.715 X2-16.031 104.933 -.034 -.153.880.583 1.715 a. Dependent Variable: AbsUiii

LAMPIRAN - 6 ANALISIS REGRESI BERGANDA H2 MODEL I DENGAN MRA REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2 Z /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N Y 1.1004E3 1083.63400 36 X1 35.6681 20.46586 36 X2 1.5711 1.10064 36 Z 4.4124E3 1378.55532 36 Correlations Y X1 X2 Z Pearson Correlation Y 1.000.379 -.276.662 X1.379 1.000.646.764 X2 -.276.646 1.000.239 Z.662.764.239 1.000 Sig. (1-tailed) Y..011.052.000 X1.011..000.000 X2.052.000..080 Z.000.000.080. N Y 36 36 36 36 X1 36 36 36 36 X2 36 36 36 36 Z 36 36 36 36 Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 Z, X2, X1 a. Enter a. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1.823 a.677.647 643.85276 1.742 a. Predictors: (Constant), Z, X2, X1

ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 2.783E7 3 9277902.794 22.381.000 a Residual 1.327E7 32 414546.373 Total 4.110E7 35 a. Predictors: (Constant), Z, X2, X1 Coefficients a Unstandardized Standardized Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF 1 (Consta -359.985 452.564 -.795.432 X1 24.037 12.246.454 1.963.058.189 5.304 X2-672.821 151.207 -.683-4.450.000.428 2.338 Z.376.143.479 2.631.013.305 3.281 a. Dependent Variable: Y Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value -7.0331E2 3.0169E3 1.1004E3 891.76724 36 Std. Predicted Value -2.023 2.149.000 1.000 36 Standard Error of Predicted 123.922 444.202 205.195 63.786 36 Adjusted Predicted Value -9.8989E2 2.8217E3 1.0692E3 928.13030 36 Residual -6.27724E2 2.61545E3.00000 615.64099 36 Std. Residual -.975 4.062.000.956 36 Stud. Residual -1.103 4.376.021 1.042 36 Deleted Residual -8.03074E2 3.03573E3 3.11403E1 737.98875 36 Stud. Deleted Residual -1.107 6.798.093 1.363 36 Mahal. Distance.324 15.687 2.917 2.821 36 Cook's Distance.000.769.056.158 36 Centered Leverage Value.009.448.083.081 36 a. Dependent Variable: Y Charts

HASIL UJI NORMALITAS H2 MODEL I DENGAN MRA NPAR TESTS /K-S(NORMAL)=RES_1 /MISSING ANALYSIS. NPar Tests [DataSet5] One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 36 Normal Parameters a Mean.0000000 Std. Deviation 6.15640988E2 Most Extreme Differences Absolute.190 Positive.190 Negative -.154 Kolmogorov-Smirnov Z 1.138 Asymp. Sig. (2-tailed).150 a. Test distribution is Normal.

LAMPIRAN - 7 HASIL UJI GLEJSER H2 MODEL I DENGAN MRA COMPUTE AbsUi=ABS(RES_1). EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT AbsUi /METHOD=ENTER X1 X2 Z /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Coefficients a Model 1 (Consta nt) Unstandardized Coefficients Standardized Coefficients Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF -376.268 290.331-1.296.204 X1-7.474 7.856 -.343 -.951.349.189 5.304 X2 83.724 97.003.207.863.395.428 2.338 Z.211.092.651 2.017.098.305 3.281 a. Dependent Variable: AbsUi

LAMPIRAN 8 ANALISIS REGRESI BERGANDA H2 MODEL II DENGAN MRA COMPUTE X1Z=X1 * Z. EXECUTE. COMPUTE X2Z=X2 * Z. EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2 Z X1Z X2Z /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N Y 1.1004E3 1083.63400 36 X1 35.6681 20.46586 36 X2 1.5711 1.10064 36 Z 4.4124E3 1378.55532 36 X1Z 1.7835E5 1.36390E5 36 X2Z 7.2853E3 6253.71791 36 Correlations Y X1 X2 Z X1Z X2Z Pearson Correlation Y 1.000.379 -.276.662.501 -.084 X1.379 1.000.646.764.964.785 X2 -.276.646 1.000.239.529.932 Z.662.764.239 1.000.883.516 X1Z.501.964.529.883 1.000.738 X2Z -.084.785.932.516.738 1.000 Sig. (1-tailed) Y..011.052.000.001.314 X1.011..000.000.000.000 X2.052.000..080.000.000 Z.000.000.080..000.001 X1Z.001.000.000.000..000 X2Z.314.000.000.001.000. N Y 36 36 36 36 36 36 X1 36 36 36 36 36 36 X2 36 36 36 36 36 36 Z 36 36 36 36 36 36 X1Z 36 36 36 36 36 36 X2Z 36 36 36 36 36 36

Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 X2Z, Z, X1, X2, X1Z a. Enter a. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Durbin-Watson 1.878 a.770.732 561.15243 1.787 a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 3.165E7 5 6330486.182 20.104.000 a Residual 9446761.396 30 314892.047 Total 4.110E7 35 a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z Coefficients a Correlations Unstandardized Standardized Collinearity Statistics Partial B Std. Error Beta T Sig. Tolerance VIF (Constant) -881.679 810.423-1.088.285 X1-33.210 29.509 -.627-1.125.269.025 40.540 X2 882.722 466.252.897 1.893.068.034 29.271 Z.451.212.574 2.129.042.105 9.499 X1Z.011.006 1.447 1.996.055.015 68.599 X2Z -.311.089-1.792-3.476.002.029 34.691 a. Dependent Variable: Y Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value -8.7703E2 3.6615E3 1.1004E3 950.97590 36 Std. Predicted Value -2.079 2.693.000 1.000 36 Standard Error of Predicted 124.630 439.237 214.904 80.488 36 Adjusted Predicted Value -2.8457E3 3.6965E3 1.0497E3 1095.35126 36 Residual -5.02638E2 2.23126E3.00000 519.52620 36 Std. Residual -.896 3.976.000.926 36 Stud. Residual -.978 4.421.035 1.112 36 Deleted Residual -6.44465E2 3.27467E3 5.06404E1 793.14400 36 Stud. Deleted Residual -.977 7.362.152 1.580 36 Mahal. Distance.754 20.472 4.861 4.884 36 Cook's Distance.000 3.412.125.578 36 Centered Leverage Value.022.585.139.140 36 a. Dependent Variable: Y

Charts

ANALISIS REGRESI BERGANDA H2 MODEL II DENGAN MRA LN COMPUTE LNX1=LN(X1). EXECUTE. COMPUTE LNX2=LN(X2). EXECUTE. COMPUTE LNZ=LN(Z). EXECUTE. COMPUTE LNX1Z=LN(X1Z). EXECUTE. COMPUTE LNX2Z=LN(X2Z). EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER LNX1 LNX2 LNZ LNX1Z LNX2Z /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Descriptive Statistics Mean Std. Deviation N Y 1.1004E3 1083.63400 36 LNX1 3.3847.66214 36 LNX2.2552.63123 36 LNZ 8.3427.32251 36 LNX1Z 11.7274.93799 36 LNX2Z 8.5979.78482 36 Correlations Y LNX1 LNX2 LNZ LNX1Z LNX2Z Pearson Correlation Y 1.000.419 -.317.633.513.005 LNX1.419 1.000.581.790.978.792 LNX2 -.317.581 1.000.279.506.919 LNZ.633.790.279 1.000.901.635 LNX1Z.513.978.506.901 1.000.778 LNX2Z.005.792.919.635.778 1.000 Sig. (1-tailed) Y..006.030.000.001.488 LNX1.006..000.000.000.000 LNX2.030.000..050.001.000 LNZ.000.000.050..000.000 LNX1Z.001.000.001.000..000 LNX2Z.488.000.000.000.000. N Y 36 36 36 36 36 36 LNX1 36 36 36 36 36 36 LNX2 36 36 36 36 36 36 LNZ 36 36 36 36 36 36 LNX1Z 36 36 36 36 36 36 LNX2Z 36 36 36 36 36 36

Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 LNX2Z, LNZ, LNX1 a. Enter a. Tolerance =,000 limits reached. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1.847 a.718.691 601.98109 2.119 a. Predictors: (Constant), LNX2Z, LNZ, LNX1 ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 2.950E7 3 9834330.896 27.138.000 a Residual 1.160E7 32 362381.238 Total 4.110E7 35 a. Predictors: (Constant), LNX2Z, LNZ, LNX1 Model Coefficients a Unstandardized Standardized Collinearity Statistics B Std. Error Beta T Sig. Tolerance VIF 1 (Constant) - 3812.322-3.688.001 LNX1 779.398 317.366.476 2.456.020.234 4.265 LNZ 2777.095 514.729.827 5.395.000.376 2.662 LNX2Z -1238.386 212.542 -.897-5.827.000.372 2.687 a. Dependent Variable: Y Excluded Variables b Collinearity Statistics Model Beta In t Sig. Partial Correlation Tolerance VIF Minimum 1 LNX2. a....000..000 LNX1Z. a....000..000 a. Predictors in the Model: (Constant), LNX2Z, LNZ, LNX1 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value -1.0100E3 3.3798E3 1.1004E3 918.11908 36 Std. Predicted Value -2.299 2.483.000 1.000 36 Standard Error of Predicted Value 104.828 380.043 192.230 58.367 36 Adjusted Predicted Value -1.8265E3 2.8021E3 1.0573E3 961.90377 36 Residual -8.27194E2 1.92618E3.00000 575.60402 36 Std. Residual -1.374 3.200.000.956 36 Stud. Residual -1.402 3.648.032 1.070 36 Deleted Residual -8.61532E2 2.50386E3 4.30911E1 728.22153 36 Stud. Deleted Residual -1.425 4.698.074 1.204 36 Mahal. Distance.089 12.978 2.917 2.553 36 Cook's Distance.000 1.154.078.249 36 Centered Leverage Value.003.371.083.073 36 a. Dependent Variable: Y

Charts

HASIL UJI NORMALITAS H2 MODEL II DENGAN MRA NPAR TESTS /K-S(NORMAL)=RES_4 /MISSING ANALYSIS. NPar Tests [DataSet5] One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 36 Normal Parameters a Mean.0000000 Std. Deviation 5.75604021E2 Most Extreme Differences Absolute.173 Positive.173 Negative -.123 Kolmogorov-Smirnov Z 1.036 Asymp. Sig. (2-tailed).233 a. Test distribution is Normal.

LAMPIRAN - 9 HASIL UJI GLEJSER H2 MODEL II DENGAN MRA COMPUTE AbsUii=ABS(RES_4). EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT AbsUii /METHOD=ENTER LNX1 LNX2 LNZ LNX1Z LNX2Z /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /SAVE RESID. Regression [DataSet5] Coefficients a Unstandardized Standardized Collinearity Statistics Model B Std. Error Beta T Sig. Tolerance VIF 1 (Constant) -3112.904 2248.285-1.385.176 LNX1-291.161 187.164 -.515-1.556.130.234 4.265 LNZ 635.471 303.557.547 2.019.074.376 2.662 LNX2Z -89.790 125.345 -.188 -.716.479.372 2.687 a. Dependent Variable:

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