DATA VARIABEL – VARIABEL DALAM PENELITIAN
BULAN JANUARI 2001- DESEMBER 2005
DATA KURS ¥/ Rp
Data US $/Rp
Data £/Rp
HASIL PENGUJIAN DATA normal:
1. STATISTIK DESKRIPTIF
2.UJI
ASUMSI
KLASIK
:
* UJI
NORMALITAS
* UJI
MULTIKOLINIERITAS
* UJI
HETEROKEDASTISITAS
HASIL PENGUJIAN data setelah dilakukan
perbaikan (Ln+sentral)
1. STATISTIK DESKRIPTIF
2.UJI
ASUMSI
KLASIK
:
* UJI
NORMALITAS
* UJI
MULTIKOLINIERITAS
* UJI
HETEROKEDASTISITAS
*
uji autokorelasi
3.UJI t
Descriptives
Descriptive Statistics
60 69,27927 92,40152 80,54424 6,63880
60 8205,93617 11290,12227 9337,50883 760,61966
60 12847,52557 18504,57155 15323,27874 1596,86692
60 7,32000 17,61000 11,47638 3,77334
60 4,60000 18,38000 9,33333 3,35676
60 359,34885 1152,82300 649,88671 267,88239
60 JP/Rp
$/Rp ING/Rp
Tingkat Suku Bunga Inflasi
IHSG
Valid N (listwise)
N Minimum Maximum Mean Std. Deviation
Keterangan :
Regression
Descriptive Statistics
649,88671 267,88239 60
80,54424 6,63880 60
9337,50883 760,61966 60
15323,27874 1596,86692 60
11,47638 3,77334 60
9,33333 3,35676 60
IHSG JP/Rp $/Rp ING/Rp
Tingkat Suku Bunga Inflasi
Mean Std. Deviation N
Correlations
1,000 ,584 -,017 ,846 -,670 -,160 ,584 1,000 ,660 ,865 -,163 ,043 -,017 ,660 1,000 ,369 ,559 ,616 ,846 ,865 ,369 1,000 -,498 -,072 -,670 -,163 ,559 -,498 1,000 ,757 -,160 ,043 ,616 -,072 ,757 1,000 . ,000 ,448 ,000 ,000 ,111
,000 . ,000 ,000 ,107 ,371
,448 ,000 . ,002 ,000 ,000
,000 ,000 ,002 . ,000 ,292
,000 ,107 ,000 ,000 . ,000
,111 ,371 ,000 ,292 ,000 .
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
IHSG JP/Rp $/Rp ING/Rp
Tingkat Suku Bunga Inflasi
IHSG JP/Rp $/Rp ING/Rp
Tingkat Suku Bunga Inflasi
IHSG JP/Rp $/Rp ING/Rp
Tingkat Suku Bunga Inflasi
Pearson Correlation
Sig. (1-tailed)
N
IHSG JP/Rp $/Rp ING/Rp
Tingkat
Suku Bunga Inflasi
Variables Entered/Removedb
Inflasi, JP/Rp, Tingkat Suku Bunga, $/Rp, ING/Rpa . Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: IHSG b.
Model Summaryb
,947a ,897 ,888 89,82011695101 ,594
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
Predictors: (Constant), Inflasi, JP/Rp, Tingkat Suku Bunga, $/Rp, ING/Rp a.
ANOVAb
3798244 5 759648,817 94,160 ,000a
435653,3 54 8067,653
4233897 59
Regression Residual Total Model 1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), Inflasi, JP/Rp, Tingkat Suku Bunga, $/Rp, ING/Rp a.
Dependent Variable: IHSG b.
Coefficientsa
-219,558 182,085 -1,206 ,233
17,148 6,797 ,425 2,523 ,015 ,584 ,325 ,110 ,067 14,891
-,218 ,051 -,618 -4,291 ,000 -,017 -,504 -,187 ,092 10,880
,094 ,034 ,558 2,715 ,009 ,846 ,347 ,119 ,045 22,148
-26,601 13,828 -,375 -1,924 ,060 -,670 -,253 -,084 ,050 19,910
41,956 8,774 ,526 4,782 ,000 -,160 ,545 ,209 ,158 6,344
(Constant) JP/Rp $/Rp ING/Rp Tingkat Suku Bunga Inflasi
Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig. Zero-order Partial Part
Correlations
Tolerance VIF
Collinearity Statistics
Dependent Variable: IHSG a.
Keterangan :
4 3 2 1 0 -1 -2 -3
Regression Standardized Residual
20 15 10 5 0 Fr e quenc y
Mean = -6.55E-15 Std. Dev. = 0.957 N = 60
Dependent Variable: IHSG Histogram 1.0 0.8 0.6 0.4 0.2 0.0
Observed Cum Prob
1.0 0.8 0.6 0.4 0.2 0.0 E x p ecte d C u m Pro b
Dependent Variable: IHSG
Normal P-P Plot of Regression Standardized Residual
4 2
0 -2
-4
Regression Studentized Residual
2 1 0 -1 Regress ion Sta n dar d iz ed P redicted Va lue
NPar Tests
One-Sample Kolmogorov-Smirnov Test
60 ,0000000 85,92993639 ,108 ,108 -,059 ,835 ,488 N
Mean
Std. Deviation Normal Parametersa,b
Absolute Positive Negative Most Extreme
Differences
Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)
Unstandardiz ed Residual
Test distribution is Normal. a.
Descriptives
Descriptive Statistics
60 4,23815 4,52614 4,38547 ,08245
60 9,01261 9,33168 9,13864 ,07948
60 9,46091 9,82577 9,63187 ,10304
60 1,99061 2,86847 2,38684 ,32991
60 1,52606 2,91126 2,17379 ,34547
60 5,88429 7,04997 6,39774 ,39532
60 Ln JP/Rp
Ln $/Rp Ln ING/Rp
Ln Tingkat Suku Bunga Ln Inflasi
Ln IHSG Valid N (listwise)
N Minimum Maximum Mean Std. Deviation
Keterangan :
Regression
Descriptive Statistics
6,39774 ,39532 60
4,38547 ,08245 60
9,13864 ,07948 60
9,63187 ,10304 60
2,38684 ,32991 60
2,17379 ,34547 60
Ln IHSG Ln JP/Rp Ln $/Rp Ln ING/Rp
Ln Tingkat Suku Bunga Ln Inflasi
Mean Std. Deviation N
Correlations
1,000 ,531 -,082 ,799 -,733 -,298 ,531 1,000 ,662 ,870 -,202 ,041 -,082 ,662 1,000 ,390 ,531 ,654 ,799 ,870 ,390 1,000 -,518 -,116 -,733 -,202 ,531 -,518 1,000 ,817 -,298 ,041 ,654 -,116 ,817 1,000 . ,000 ,266 ,000 ,000 ,010
,000 . ,000 ,000 ,061 ,379
,266 ,000 . ,001 ,000 ,000
,000 ,000 ,001 . ,000 ,189
,000 ,061 ,000 ,000 . ,000
,010 ,379 ,000 ,189 ,000 .
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
60 60 60 60 60 60
Ln IHSG Ln JP/Rp Ln $/Rp Ln ING/Rp
Ln Tingkat Suku Bunga Ln Inflasi
Ln IHSG Ln JP/Rp Ln $/Rp Ln ING/Rp
Ln Tingkat Suku Bunga Ln Inflasi
Ln IHSG Ln JP/Rp Ln $/Rp Ln ING/Rp
Ln Tingkat Suku Bunga Ln Inflasi
Pearson Correlation
Sig. (1-tailed)
N
Ln IHSG Ln JP/Rp Ln $/Rp Ln ING/Rp
Ln Tingkat
Suku Bunga Ln Inflasi
Variables Entered/Removedb
Ln Inflasi, Ln JP/Rp, Ln Tingkat Suku Bunga, Ln $/Rp, Ln ING/Rpa . Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Model Summaryb
,939a ,882 ,871 ,14193103573 ,502
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
Predictors: (Constant), Ln Inflasi, Ln JP/Rp, Ln Tingkat Suku Bunga, Ln $/Rp, Ln ING/Rp
a.
Dependent Variable: Ln IHSG b.
ANOVAb
8,132 5 1,626 80,741 ,000a
1,088 54 ,020
9,220 59
Regression Residual Total Model 1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), Ln Inflasi, Ln JP/Rp, Ln Tingkat Suku Bunga, Ln $/Rp, Ln ING/Rp
a.
Dependent Variable: Ln IHSG b.
Coefficientsa
10,342 5,709 1,812 ,076
2,002 ,812 ,418 2,467 ,017 ,531 ,318 ,115 ,076 13,117
-2,833 ,823 -,570 -3,442 ,001 -,082 -,424 -,161 ,080 12,529
1,402 ,854 ,366 1,642 ,106 ,799 ,218 ,077 ,044 22,684
-,859 ,285 -,717 -3,018 ,004 -,733 -,380 -,141 ,039 25,827
,785 ,155 ,686 5,069 ,000 -,298 ,568 ,237 ,119 8,378
(Constant) Ln JP/Rp Ln $/Rp Ln ING/Rp Ln Tingkat Suku Bunga Ln Inflasi
Model 1
B Std. Error
Unstandardized Coefficients
Beta Standardized
Coefficients
t Sig. Zero-order Partial Part
Correlations
Tolerance VIF
Collinearity Statistics
Dependent Variable: Ln IHSG a.
Keterangan :
4 2 0 -2 -4
Regression Standardized Residual
10 8 6 4 2 0 Fr eque ncy
Mean = 4.48E-14 Std. Dev. = 0.957 N = 60
Dependent Variable: Ln IHSG Histogram 1.0 0.8 0.6 0.4 0.2 0.0
Observed Cum Prob
1.0 0.8 0.6 0.4 0.2 0.0 E x p ecte d C u m Pro b
Dependent Variable: Ln IHSG
Normal P-P Plot of Regression Standardized Residual
4 2
0 -2
-4
Regression Studentized Residual
2 1 0 -1 -2 Reg ress ion S ta nda rd ized P red ict e d Va lue
NPar Tests
One-Sample Kolmogorov-Smirnov Test
60 ,0000000 ,13578389 ,065 ,065 -,047 ,504 ,961 N
Mean
Std. Deviation Normal Parametersa,b
Absolute Positive Negative Most Extreme
Differences
Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)
Unstandardiz ed Residual
Test distribution is Normal. a.
Descriptives
Descriptive Statistics
60 -,65223 ,51345 -,01795 ,38886
60 -,19304 ,20467 ,00620 ,08639
60 -,19390 ,17096 -,00080 ,10279
60 359,34885 1152,82300 649,88671 267,88239
60 -6,13362 4,15638 ,23435 3,68867
60 -9,04667 4,73333 ,16433 3,31534
60 CJP/Rp
C$/Rp CING/Rp IHSG CSB CINF
Valid N (listwise)
N Minimum Maximum Mean Std. Deviation
Keterangan :
¾
C adalah Data Sentral
Regression
Descriptive Statistics
649,88671 267,88239 60 -,01795 ,38886 60 ,00620 ,08639 60 -,00080 ,10279 60 ,23435 3,68867 60 ,16433 3,31534 60 IHSG CJP/Rp C$/Rp CING/Rp CSB CINF
Mean Std. Deviation N
Correlations
1,000 -,971 -,056 -,831 ,638 ,131 -,971 1,000 -,098 ,770 -,722 -,221 -,056 -,098 1,000 ,435 ,551 ,608 -,831 ,770 ,435 1,000 -,449 -,030 ,638 -,722 ,551 -,449 1,000 ,753 ,131 -,221 ,608 -,030 ,753 1,000 . ,000 ,336 ,000 ,000 ,160 ,000 . ,227 ,000 ,000 ,045 ,336 ,227 . ,000 ,000 ,000 ,000 ,000 ,000 . ,000 ,409 ,000 ,000 ,000 ,000 . ,000 ,160 ,045 ,000 ,409 ,000 . 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 60 IHSG CJP/Rp C$/Rp CING/Rp CSB CINF IHSG CJP/Rp C$/Rp CING/Rp CSB CINF IHSG CJP/Rp C$/Rp CING/Rp CSB CINF Pearson Correlation Sig. (1-tailed) N
IHSG CJP/Rp C$/Rp CING/Rp CSB CINF
Variables Entered/Removedb
CINF, CING/Rp, C$/Rp, CJP/Rp, CSBa . Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Model Summaryb
,983a ,966 ,963 51,29207 1,749
Model 1
R R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
Predictors: (Constant), CINF, CING/Rp, C$/Rp, CJP/Rp, CSB a.
Dependent Variable: IHSG b.
ANOVAb
4091830 5 818366,005 311,062 ,000a
142067,3 54 2630,877
4233897 59
Regression Residual Total Model 1
Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), CINF, CING/Rp, C$/Rp, CJP/Rp, CSB a.
Dependent Variable: IHSG b.
Coefficientsa
640,742 6,648 96,378 ,000
-646,155 46,942 -,938 -13,765 ,000 -,971 -,882 -,343 ,134 7,472 -605,064 268,404 -,195 -2,254 ,028 -,056 -,293 -,056 ,183 1,704 65,111 260,148 ,025 ,250 ,803 -,831 ,034 ,006 ,162 1,613 8,097 7,725 ,111 1,048 ,299 ,638 ,141 ,026 ,155 1,818 -3,351 4,369 -,041 -,767 ,446 ,131 -,104 -,019 ,213 4,706 (Constant)
CJP/Rp C$/Rp CING/Rp CSB CINF Model 1
B Std. Error Unstandardized
Coefficients
Beta Standardized
Coefficients
t Sig. Zero-order Partial Part Correlations
Tolerance VIF Collinearity Statistics
Dependent Variable: IHSG a.
Keterangan :
¾
C adalah Data Sentral
2 1 0 -1 -2 -3 -4
Regression Standardized Residual
20 15 10 5 0 Fre q ue nc y
Mean = 7.39E-16 Std. Dev. = 0.957 N = 60
Dependent Variable: IHSG Histogram 1.0 0.8 0.6 0.4 0.2 0.0
Observed Cum Prob
1.0 0.8 0.6 0.4 0.2 0.0 E x pected C um P rob
Dependent Variable: IHSG
Normal P-P Plot of Regression Standardized Residual
2 1 0 -1 -2 -3 -4
Regression Studentized Residual
2 1 0 -1 R e gre s s ion S tan dardi z ed Pr edic ted Va lue
NPar Tests
One-Sample Kolmogorov-Smirnov Test
60 ,0000000 49,07057287 ,143 ,104 -,143 1,108 ,172 N
Mean
Std. Deviation Normal Parametersa,b
Absolute Positive Negative Most Extreme
Differences
Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)
Unstandardiz ed Residual
Test distribution is Normal. a.
Calculated from data. b.