Lampiran 1 Data Efektivits BPHTB

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

74.24

6.91 81.15 35.6681 3.41098 20.46586 418.851

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

LAMPIRAN - 4 ANALISIS REGRESI BERGANDA H1

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 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 X1

36 X2

b Variables Entered/Removed

Model Variables Entered Variables Removed Method

1 X2, X1 . Enter a. All requested variables entered.

b. Dependent Variable: Y

b Model Summary

Std. Error of the Model R R Square Adjusted R Square Estimate Durbin-Watson

1 .779 .607 .584 699.24940 1.703

a. Predictors: (Constant), X2, X1

b. Dependent Variable: Y

ANOVA Model Sum of Squares df Mean Square F Sig. a

1 Regression 2.496E7 2 1.248E7 25.528 .000 Residual 1.614E7 33 488949.723 Total 4.110E7

a. Predictors: (Constant), X2, X1

b. Dependent Variable: Y

6.245
878.274 140.625 -.892

36 Adjusted Predicted Value -1.2627E3 3.1696E3 1.0692E3 897.88012

a. Dependent Variable: Y

36 Centered Leverage Value .001 .440 .056 .080

36 Cook's Distance .000 .912 .062 .191

36 Mahal. Distance .042 15.384 1.944 2.789

36 Stud. Deleted Residual -1.590 6.897 .092 1.372

36 Deleted Residual -1.19520E3 3.27460E3 3.12031E1 789.87266

36 Stud. Residual -1.554 4.442 .020 1.042

36 Std. Residual -1.414 4.213 .000 .971

36 Residual -9.88406E2 2.94569E3 .00000 678.97698

36 Standard Error of Predicted 119.048 478.016 189.211 71.318

Coefficients a

36 Std. Predicted Value -1.938 2.569 .000 1.000

Minimum Maximum Mean Std. Deviation N Predicted Value -5 3662E2 3 2697E3 1 1004E3 844 54301

Residuals Statistics a

a. Dependent Variable: Y

.000 .583 1.715

VIF 1 (Constant) 677.460 241.252 2.808 .008 X1 50.543 7.563 .955 6.683 .000 .583 1.715

Collinearity Statistics B Std. Error Beta Tolerance

Coefficients t Sig.

Coefficients Standardized

Model Unstandardized

Charts

NPAR TESTS /K-S(NORMAL)=RES_6 /MISSING ANALYSIS.

NPar Tests

[DataSet5]

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

36 Normal Parameters

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.

LAMPIRAN – 5 HASIL UJI GLEJSER H1 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]

a Coefficients

Unstandardized Standardized Collinearity Statistics Model t Sig.

B Std. Error Beta 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

1 Z, X2, X1

36 Z

36 Variables Entered/Removed

Model Variables Entered Variables Removed Method

. Enter a. All requested variables entered.

b. Dependent Variable: Y

Model Summary b

Model R R Square Adjusted R Square Std. Error of the

Estimate Durbin-Watson 1 .823

.677 .647 643.85276 1.742

a. Predictors: (Constant), Z, X2, X1

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.

X1 X2 Z Pearson Correlation Y 1.000 .379 -.276 .662

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 .379 1.000 .646 .764 X2 -.276 .646 1.000 .239 Z .662 .764 .239 1.000

36 X2

Sig. (1-tailed) Y . .011 .052 .000 X1 .011 . .000 .000 X2 .052 .000 . .080 Z .000 .000 .080 . N Y

36 X1

b. Dependent Variable: Y

b ANOVA Model Sum of Squares df Mean Square F Sig. a

1 Regression 2.783E7 3 9277902.794 22.381 .000 Residual 1.327E7 32 414546.373 Total 4.110E7

a. Predictors: (Constant), Z, X2, X1

b. Dependent Variable: Y

a Coefficients

Unstandardized Standardized Collinearity Statistics Model t Sig.

B Std. Error Beta 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

a Residuals Statistics

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

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

36 Normal Parameters

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]

a Coefficients

Unstandardized Standardized Coefficients Coefficients Collinearity Statistics

Model B Std. Error Beta t Sig. Tolerance

VIF 1 (Consta

376.268 290.331 -1.296 .204 nt) 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.

36 X2

36 Z

36 X1Z

36 X2Z

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.

X1Z

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

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 X1

b Variables Entered/Removed

Model Variables Entered Variables Removed Method

1 X2Z, Z, X1, X2, X1Z . Enter a. All requested variables entered.

b. Dependent Variable: Y

b Model Summary

Model R R Square Adjusted R Square Std. Error of the Durbin-Watson

1 .878 .770 .732 561.15243 1.787

a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z

b. Dependent Variable: Y

b ANOVA Model Sum of Squares df Mean Square F Sig. a

1 Regression 3.165E7 5 6330486.182 20.104 .000 Residual 9446761.396 30 314892.047 Total 4.110E7

a. Predictors: (Constant), X2Z, Z, X1, X2, X1Z

b. Dependent Variable: Y

a Coefficients

Unstandardized Standardized Collinearity Statistics Correlations

Partial T Sig.

B Std. Error Beta 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

a Residuals Statistics

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

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 LNX1

36 LNX2

36 LNZ

36 LNX1Z

36 LNX2Z

b Variables Entered/Removed

Model Variables Entered Variables Removed Method _a

1 LNX2Z, LNZ, LNX1 . Enter a. Tolerance = ,000 limits reached.

b. Dependent Variable: Y _b

Model Summary

Std. Error of the Model R R Square Adjusted R Square Estimate Durbin-Watson _a 1 .847 .718 .691 601.98109

2.119

a. Predictors: (Constant), LNX2Z, LNZ, LNX1

b. Dependent Variable: Y _b

ANOVA Model Sum of Squares df Mean Square F Sig. a

1 Regression 2.950E7 3 9834330.896 27.138 .000

Residual 1.160E7 32 362381.238

Total 4.110E7

a. Predictors: (Constant), LNX2Z, LNZ, LNX1

b. Dependent Variable: Y

a Coefficients

Unstandardized Standardized Collinearity Statistics Model T Sig.

B Std. Error Beta 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 _b

Excluded Variables

Collinearity Statistics Model Beta In t Sig. Partial Correlation Tolerance _a

VIF Minimum

1 LNX2 . . . . .000 . .000 _a LNX1Z . . . . .000 . .000

a. Predictors in the Model: (Constant), LNX2Z, LNZ, LNX1

b. Dependent Variable: Y _a

Residuals Statistics

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

a. Dependent Variable: Y

Charts

NPAR TESTS /K-S(NORMAL)=RES_4 /MISSING ANALYSIS.

NPar Tests

[DataSet5]

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

36 Normal Parameters

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.

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