Lampiran Kurs USD BI Rate IHSG Jan-07
Lampiran Kurs USD BI Rate
IHSG Jan-07
9111,82 9,50% 1776,52
9112,85 9,25% 1772,35
Feb-07
9209,95 9,00% 1780,51
Mar-07
9142,90 9,00% 1948,46
Apr-07
8888,48 8,75% 2050,01
Mei-07
9028,55 8,50% 2119,17
Jun-07
9112,36 8,25% 2294,85
Jul-07
9413,55 8,25% 2152,85
Agust-07
9356,50 8,25% 2269,15
Sep-07
9152,71 8,25% 2556,94
Okt-07
9310,68 8,25% 2662,15
Nop-07
9380,27 8,00% 2742,77
Des-07
Jan-08
Feb-08
9230,83 8,00% 2475,91
9226,95 8,00% 2690,43
9453,3 8,00% 2640,93
Mar-08
9254,64 8,00% 2291,59
Apr-08
9342,29 8,50% 2378,53 Jul-08
9337,3 8,25% 2425,98
Mei-08
Jun-08
9209,45 8,75% 2262,58
9195,1 9,00% 2134,43
Agust-08
9387,4 9,25% 1914,3
Sep-08
10098,65 9,50% 1376,22
Okt-08
11769,85 9,50% 1255,18
Nop-08
11381,53 9,25% 1298,13
Des-08
11223,11 8,75% 1367,83
Jan-09
11912,15 8,25% 1318,64
Feb-09
11908,8 7,75% 1343,93
Mar-09
11080,25 7,50% 1576,41
Apr-09
10449,11 7,25% 1837,88
Mei-09
10257,59 7,00% 2029,8
Jun-09
10161,86 6,75% 2133,45
Jul-09
10027,5 6,50% 2356,66
Agust-09
9950,39 6,50% 2394,59
Sep-09
9530 6,50% 2466,88
Okt-09
Nop-09
Des-09
9321,95 6,50% 2619,9
9504,85 6,50% 2492,65
9517,2 6,50% 2424,32
Jan-10
9395,11 6,50% 2548,58
Feb-10
9072,33 6,50% 2895,43 Mei-10
9219,68 6,50% 2692,11
Mar-10
Apr-10
9229,16 6,50% 2774,6
9194 6,50% 2851,94
Jun-10
9094,45 6,50% 2977,06
Jul-10
9016,76 6,50% 3073,18
Agust-10
9020,84 6,50% 3335,58
Sep-10
8972,9 6,50% 3594,71
Okt-10
8983,29 6,50% 3670,61
Nop-10
9067,62 6,50% 3667,8
Des-10
9082,38 6,50% 3543,19
Jan-11
8957,11 6,75% 3449,74
Feb-11
8805,48 6,75% 3558,11
Mar-11
8694,3 6,75% 3749,2
Apr-11
8598,8 6,75% 3818,32
Mei-11
8607 6,75% 3805,4
Jun-11
8576,19 6,75% 4025,94
Jul-11
8574,79 6,75% 3936,35
Agust-11
Sep-11
Okt-11
9060,23 6,00% 3747,03
8939,67 6,50% 3600,4
8809,45 6,75% 3716,53
Nop-11
8742,52 6,00% 3776,43
Des-11
9070,81 5,75% 3960,07 Mar-12
9154,76 6,00% 3930,84
Jan-12
Feb-12
9211,29 5,75% 4023,46
9221,5 5,75% 4162,22
Apr-12
9336,57 5,75% 4050,98
Mei-12
9498,14 5,75% 3850,55
Jun-12
9503,59 5,75% 4044,56
Jul-12
9547,16 5,75% 4114,76
Agust-12
9614,25 5,75% 4187,22
Sep-12
9645,14 5,75% 4309,68
Okt-12
9675,95 5,75% 4327,29
Nop-12
9685,6 5,75% 4294,51
Des-12
9735,57 5,75% 4403,12
Jan-13
9735,05 5,75% 4588,5
Feb-13
9758,11 5,75% 4823,16
Mar-13
9772,95 5,75% 4959,15
Apr-13
9809,91 5,75% 5100,44
Mei-13
Jun-13
Jul-13
10625,28 7,00% 4348,86
10123,7 6,50% 4631,38
9931 6,00% 4726,88
Agust-13
11402,95 7,25% 4353,64
Sep-13
11652 7,50% 4359,72 Des-13
11423,86 7,25% 4496,32
Okt-13
Nop-13
12147,55 7,50% 4221,59
Tabel pengujian Asumsi Klasik dan uji Hipotesis dengan program SPSS Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson
a
1 .795 .632 .623 .22820 .064
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: LNIHSG
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 7.232 2 3.616 69.441 .000 Residual 4.218 81 .052 Total 11.450
83
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: LNIHSG
a
Coefficients
Standardized Unstandardized Coefficients Coefficients Collinearity Statistics
Model B Std. Error Beta t Sig. Tolerance
VIF 1 (Constant) 14.527 2.786 5.214 .000 LNUSD -.524 .307 -.118 -1.708 .091 .960 1.042 BIRate -24.539 2.214 -.763 -11.084 .000 .960 1.042
a. Dependent Variable: LNIHSG
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.200 LNUSD -.200 1.000
Covariances BIRate 4.901 -.136 LNUSD -.136 .094
a. Dependent Variable: LNIHSG
a
Collinearity DiagnosticsVariance Proportions Dimensi
Model on Eigenvalue Condition Index (Constant) LNUSD BIRate
1 1 2.983 1.000 .00 .00 .00 2 .017 13.300 .00 .00 .97 3 3.958E-5 274.541
1.00 1.00 .03
a. Dependent Variable: LNIHSG
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value 7.2813 8.3381 7.9768 .29518
84 Residual -.50192 .60267 .00000 .22543
84 Std. Predicted Value -2.356 1.224 .000 1.000
84 Std. Residual -2.200 2.641 .000 .988
84
a. Dependent Variable: LNIHSG
NPar Tests One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
84
a,,b
Normal Parameters Mean .0000000 Std. Deviation .22543045
Most Extreme Differences Absolute .122 Positive .112 Negative -.122
Kolmogorov-Smirnov Z 1.117 Asymp. Sig. (2-tailed) .165 a. Test distribution is Normal.
b. Calculated from data.
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation Unstandardized Residual 84 -.50192 .60267 .0000000 .22543045 Valid N (listwise)
84 Variables Entered/Removed Variables
Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .760 .577 .567 .44515
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 21.906 2 10.953 55.275 .000 Residual 16.051 81 .198 Total 37.957
83
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) -56.384 5.435 -10.375 .000 LNUSD 6.292 .599 .775 10.510 .000 BIRate -7.842 4.319 -.134 -1.816 .073
a. Dependent Variable: ABSZRES
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.200 LNUSD -.200 1.000
Covariances BIRate 18.651 -.516 LNUSD -.516 .358
a. Dependent Variable: ABSZRES
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value .0676 2.2005 .7323 .51374
84 Residual -1.19521 .74524 .00000 .43975
84 Std. Predicted Value -1.294 2.858 .000 1.000
84 Std. Residual -2.685 1.674 .000 .988
84
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value .0676 2.2005 .7323 .51374
84 Residual -1.19521 .74524 .00000 .43975
84 Std. Predicted Value -1.294 2.858 .000 1.000
84 Std. Residual -2.685 1.674 .000 .988
84
a. Dependent Variable: ABSZRES
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation Unstandardized Residual 84 -1.19521 .74524 .0000000 .43975232 Valid N (listwise)
84 Variables Entered/Removed Variables
Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .441 .195 .175 .47979
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES2
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 4.511 2 2.256 9.799 .000 Residual 18.646 81 .230 Total 23.157
83
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES2
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) -20.413 5.858 -3.485 .001 LNUSD 2.429 .645 .383 3.764 .000 BIRate -14.127 4.655 -.309 -3.035 .003
a. Dependent Variable: ABSZRES2
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.200 LNUSD -.200 1.000
Covariances BIRate 21.666 -.600 LNUSD -.600 .416
a. Dependent Variable: ABSZRES2
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value .3861 1.3671 .8440 .23314
84 Residual -1.03701 1.71009 .00000 .47397
84 Std. Predicted Value -1.964 2.244 .000 1.000
84 Std. Residual -2.161 3.564 .000 .988
84
a. Dependent Variable: ABSZRES2
Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter
Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .441 .195 .175 .47979
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES2
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 4.511 2 2.256 9.799 .000 Residual 18.646 81 .230 Total 23.157
83
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES2
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) -20.413 5.858 -3.485 .001 LNUSD 2.429 .645 .383 3.764 .000 BIRate -14.127 4.655 -.309 -3.035 .003
a. Dependent Variable: ABSZRES2
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.200 LNUSD -.200 1.000
Covariances BIRate 21.666 -.600 LNUSD -.600 .416
a. Dependent Variable: ABSZRES2
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value .3861 1.3671 .8440 .23314
84 Residual -1.03701 1.71009 .00000 .47397
84 Std. Predicted Value -1.964 2.244 .000 1.000
84 Std. Residual -2.161 3.564 .000 .988
84
a. Dependent Variable: ABSZRES2
Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .314 .098 .076 .53915
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES3
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.536 2 1.268 4.362 .016 Residual 23.254 80 .291 Total 25.790
82
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES3
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) -6.472 6.798 -.952 .344 LNUSD .903 .747 .130 1.209 .230 BIRate -15.130 5.322 -.305 -2.843 .006
a. Dependent Variable: ABSZRES3
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.146 LNUSD -.146 1.000
Covariances BIRate 28.326 -.582 LNUSD -.582 .558
a. Dependent Variable: ABSZRES3
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value .3210 .9550 .7297 .17586
83 Residual -.75783 1.45509 .00000 .53253
83 Std. Predicted Value -2.324 1.281 .000 1.000
83 Std. Residual -1.406 2.699 .000 .988
83
a. Dependent Variable: ABSZRES3
NPar Tests One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
83
a,,b
Normal Parameters Mean .0000000 Std. Deviation .53253281
Most Extreme Differences Absolute .085 Positive .085 Negative -.077
Kolmogorov-Smirnov Z .779 Asymp. Sig. (2-tailed) .579 a. Test distribution is Normal.
b. Calculated from data.
Descriptives Descriptive Statistics
N Minimum Maximum Mean Std. Deviation Unstandardized Residual 83 -.75783 1.45509 .0000000 .53253281 Valid N (listwise)
Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .267 .071 .048 .57798
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES4
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.044 2 1.022 3.059 .052 Residual 26.725 80 .334 Total 28.769
82
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES4
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) -12.878 7.288 -1.767 .081 LNUSD 1.571 .801 .214 1.962 .053 BIRate -10.135 5.706 -.194 -1.776 .079
a. Dependent Variable: ABSZRES4
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.146 LNUSD -.146 1.000
Covariances BIRate 32.554 -.669 LNUSD -.669 .641
a. Dependent Variable: ABSZRES4
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value .4818 1.1363 .8008 .15786
83 Residual -1.05542 2.06697 .00000 .57089
83 Std. Predicted Value -2.021 2.125 .000 1.000
83 Std. Residual -1.826 3.576 .000 .988
83
a. Dependent Variable: ABSZRES4
NPar Tests One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N
83
a,,b
Normal Parameters Mean .0000000 Std. Deviation .57089160
Most Extreme Differences Absolute .094 Positive .094 Negative -.057
Kolmogorov-Smirnov Z .859 Asymp. Sig. (2-tailed) .451 a. Test distribution is Normal.
b. Calculated from data.
Regression Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson
a
1 .267 .071 .048 .57798 1.456
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES4
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 2.044 2 1.022 3.059 .052 Residual 26.725 80 .334 Total 28.769
82
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: ABSZRES4
a
Coefficients
Standardized Unstandardized Coefficients Coefficients Collinearity Statistics
Model B Std. Error Beta t Sig. Tolerance
VIF 1 (Constant) -12.878 7.288 -1.767 .081 LNUSD 1.571 .801 .214 1.962 .053 .979 1.022 BIRate -10.135 5.706 -.194 -1.776 .079 .979 1.022
a. Dependent Variable: ABSZRES4
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.146 LNUSD -.146 1.000
Covariances BIRate 32.554 -.669 LNUSD -.669 .641
a. Dependent Variable: ABSZRES4
a Collinearity Diagnostics
Variance Proportions Dimensi
Model on Eigenvalue Condition Index (Constant) LNUSD BIRate
1 1 2.984 1.000 .00 .00 .00 2 .016 13.501 .00 .00 .98 3 3.767E-5 281.444
1.00 1.00 .01
a. Dependent Variable: ABSZRES4
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value .4818 1.1363 .8008 .15786
83 Residual -1.05542 2.06697 .00000 .57089
83 Std. Predicted Value -2.021 2.125 .000 1.000
83 Std. Residual -1.826 3.576 .000 .988
83
a. Dependent Variable: ABSZRES4
Regression Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate
a
1 .795 .632 .623 .22820
a. Predictors: (Constant), BIRate, LNUSD
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 7.232 2 3.616 69.441 .000 Residual 4.218 81 .052 Total 11.450
83
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: LNIHSG
a
CoefficientsStandardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig.
1 (Constant) 14.527 2.786 5.214 .000 LNUSD -.524 .307 -.118 -1.708 .091 BIRate -24.539 2.214 -.763 -11.084 .000
a. Dependent Variable: LNIHSG
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.200 LNUSD -.200 1.000
Covariances BIRate 4.901 -.136 LNUSD -.136 .094
a. Dependent Variable: LNIHSG
Regression Variables Entered/Removed
Variables Model Variables Entered Removed Method
a
1 BIRate, LNUSD . Enter a. All requested variables entered.
b Model Summary
Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson
a
1 .781 .609 .599 .22896 .065
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: LNIHSG
b ANOVA Model Sum of Squares df Mean Square F Sig. a
1 Regression 6.539 2 3.269 62.370 .000 Residual 4.194 80 .052 Total 10.733
82
a. Predictors: (Constant), BIRate, LNUSD
b. Dependent Variable: LNIHSG
a
Coefficients
Standardized Unstandardized Coefficients Coefficients Collinearity Statistics
Model B Std. Error Beta t Sig. Tolerance
VIF 1 (Constant) 14.035 2.887 4.861 .000 LNUSD -.473 .317 -.105 -1.490 .140 .979 1.022 BIRate -24.255 2.260 -.758 -10.731 .000 .979 1.022
a. Dependent Variable: LNIHSG
a Coefficient Correlations
Model BIRate LNUSD
1 Correlations BIRate 1.000 -.146 LNUSD -.146 1.000
Covariances BIRate 5.108 -.105 LNUSD -.105 .101
a. Dependent Variable: LNIHSG
a Collinearity Diagnostics
Variance Proportions Dimensi
Model on Eigenvalue Condition Index (Constant) LNUSD BIRate
1 1 2.984 1.000 .00 .00 .00 2 .016 13.501 .00 .00 .98 3 3.767E-5 281.444
1.00 1.00 .01
a. Dependent Variable: LNIHSG
a
Residuals StatisticsMinimum Maximum Mean Std. Deviation N Predicted Value 7.3731 8.3334 7.9870 .28239
83 Residual -.51700 .58943 .00000 .22615
83 Std. Predicted Value -2.174 1.227 .000 1.000
83 Std. Residual -2.258 2.574 .000 .988
83
a. Dependent Variable: LNIHSG
Descriptives Descriptive Statistics
N Minimum Maximum Mean Std. Deviation LNUSD
83
9.06 9.40 9.1641 .08060 BIRate 83 .0575 .0950 .070783 .0113086 Valid N (listwise)
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
IHSG 84 1255 5100 3103.18 1044.915 Kurs USD 84 8574 12147 9606.05 846.975 BI Rate 84 .0575 .0950 .071071 .0115467 Valid N (listwise)
84