Lampiran 1. Korelasi Variabel Kemiskinan dan Faktor-Faktor yang Memengaruhi

Correlations: Y, X1, X2, X3, X4 Y X1 X2 X3X1 0.260 0.051X2 0.429 0.647 0.001 0.000X3 -0.108 0.053 -0.053 0.425 0.698 0.696X4 0.191 -0.480 -0.382 -0.053 0.155 0.000 0.003 0.694

Lampiran 2 . Hasil Olahan dengan Semua Variabel pada Metode OLS

Regression Analysis: Y versus X1, X2, X3, X4 The regression equation isY = - 195 + 0.371 X1 + 25.1 X2 - 0.00492 X3 + 9.83 X4Predictor Coef SE Coef T P VIFConstant -194.8 131.6 -1.48 0.145X1 0.3715 0.3619 1.03 0.309 1.9X2 25.058 7.546 3.32 0.002 1.8X3 -0.004920 0.008433 -0.58 0.562 1.0X4 9.830 2.790 3.52 0.001 1.3S = 166.948 R-Sq = 34.7% R-Sq(adj) = 29.7%Analysis of VarianceSource DF SS MS F PRegression 4 770272 192568 6.91 0.000Residual Error 52 1449318 27872Total 56 2219590

Hasil Olahan dengan Semua Variabel pada Metode OLS dengan Geoda

SUMMARY OF OUTPUT: ORDINARY LEAST SQUARES ESTIMATIONData set : pulaubaliDependent Variable : Y Number of Observations: 57Mean dependent var : 372.491 Number of Variables : 5S.D. dependent var : 197.333 Degrees of Freedom : 52 R-squared : 0.347033 F-statistic : 6.90913Adjusted R-squared : 0.296805 Prob(F-statistic) : 0.000154226Sum squared residual:1.44932e+006 Log likelihood : -369.971Sigma-square : 27871.5 Akaike info criterion : 749.941S.E. of regression : 166.948 Schwarz criterion : 760.157Sigma-square ML : 25426.6S.E of regression ML: 159.457-------------------------------------------------------------------- Variable Coefficient Std.Error t-Statistic Probability -------------------------------------------------------------------- CONSTANT -194.7546 131.5734 -1.480198 0.1448538 X1 0.3714737 0.3619059 1.026437 0.3094369 X2 25.05771 7.546031 3.320648 0.0016472 X3 -0.004919794 0.00843325 -0.5833806 0.5621583 X4 9.829996 2.789603 3.523797 0.0008963 ----------------------------------------------------------------------

Lampiran 3. Hasil Olahan dengan Tiga Variabel pada Metode OLS

Regression Analysis: Y versus X2, X4 The regression equation isY = - 210 + 29.8 X2 + 9.01 X4Predictor Coef SE Coef T P VIFConstant -209.6 114.8 -1.83 0.073X2 29.763 6.106 4.87 0.000 1.2X4 9.005 2.614 3.45 0.001 1.2S = 165.852 R-Sq = 33.1% R-Sq(adj) = 30.6%Analysis of VarianceSource DF SS MS F PRegression 2 734219 367110 13.35 0.000Residual Error 54 1485371 27507Total 56 2219590

Hasil Olahan dengan Tiga Variabel pada Metode OLS dengan Geoda

SUMMARY OF OUTPUT: ORDINARY LEAST SQUARES ESTIMATIONData set : pulaubali Dependent Variable : Y Number of Observations: 57Mean dependent var : 372.491 Number of Variables : 3S.D. dependent var : 197.333 Degrees of Freedom : 54 R-squared : 0.330790 F-statistic :13.3461Adjusted R-squared : 0.306005 Prob(F-statistic) :1.95065e-005Sum squared residual:1.48537e+006 Log likelihood :-370.671Sigma-square : 27506.9 Akaike info criterion :747.342S.E. of regression : 165.852 Schwarz criterion :753.471Sigma-square ML : 26059.1S.E of regression ML: 161.428-------------------------------------------------------------------- Variable Coefficient Std.Error t-Statistic Probability -------------------------------------------------------------------- CONSTANT -209.6173 114.8331 -1.825409 0.0734716 X2 29.76261 6.10611 4.874235 0.0000100 X4 9.005489 2.61361 3.445613 0.0011101--------------------------------------------------------------------

Uji Homogenits degan GlesjerCoefficientsa

ModelUnstandardized CoefficientsStandardized CoefficientstSig.

BStd. ErrorBeta

1(Constant)-4.94981.213-.061.952

X1-.285.223-.230-1.276.208

X26.2384.658.2301.339.186

X3.013.005.3342.567.013

X4.4161.722.036.241.810

Breusch-Pagan test Residual dengan dengan Geoda

DIAGNOSTICS FOR HETEROSKEDASTICITY RANDOM COEFFICIENTSTEST DF VALUE PROBBreusch-Pagan test 4 12.52307 0.0138573Koenker-Bassett test 4 9.24265 0.0553124

Lampiran 4. Uji Dependensi Spasial (Morans I)

Data set : pulaubali Spatial Weight : pulaubali.gal Dependent Variable : Y Number of Observations: 57Mean dependent var : 372.491 Number of Variables : 6S.D. dependent var : 197.333 Degrees of Freedom : 51Lag coeff. (Rho) : 0.194049 R-squared : 0.368042 Log likelihood : -369.281Sq. Correlation : - Akaike info criterion : 750.561Sigma-square : 24608.5 Schwarz criterion : 762.82S.E of regression : 156.871 -------------------------------------------------------------------- Variable Coefficient Std.Error z-value Probability -------------------------------------------------------------------- W_Y 0.1940489 0.1490948 1.301514 0.1930829 CONSTANT -210.9238 123.7358 -1.70463 0.0882633 X1 0.39836 0.3415438 1.166351 0.2434727 X2 20.32104 7.494993 2.711281 0.0067025 X3 -0.001945203 0.007940486 -0.2449727 0.8064776 X4 9.355001 2.706136 3.456958 0.0005464--------------------------------------------------------------------Lampiran 5. Morans I z-value

Output Uji Lagrange Multiplier (LM)

DIAGNOSTICS FOR SPATIAL DEPENDENCE FOR WEIGHT MATRIX : pulaubali.gal (row-standardized weights)TEST MI/DF VALUE PROB Moran's I (error) 0.149260 2.6174080 0.0088601Lagrange Multiplier (lag) 1 1.2322497 0.2669700Robust LM (lag) 1 0.1807839 0.6707004Lagrange Multiplier (error) 1 2.7604749 0.0966196Robust LM (error) 1 1.7090092 0.1911140Lagrange Multiplier (SARMA) 2 2.9412588 0.2297808========================= END OF REPORT ==============================38

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