MANUFAKTUR DI BEI tahun 2006-2008
No Emiten
TAHUN TAHUN TAHUN TAHUN RATA-RATA
2006 2007 2008
2006-2008
EPS HRG DIV EPS HRG DIV EPS HRG DIV EPS HRG DIV
1 Merck 386 4000 200 399 5250 230 440 3550 535 408.33 42667 321.6
2 United Tractor 326 6550 85 524 10900 150 800 4400 220 550 7283.3 151.6
3 Tunas Ridean 16 710 5 136 1240 55 176 750 168 109.33 900 76
4 Indo Kordsa 41 1900 12 87 1900 63 211 1800 125 113 1866.7 66.66
5 Metrodata Electronics 10 80 3 14 184 3 15 71 1 13 1117 2.667
6 Sumi Indo Kabel 145 820 35 253 1150 100 319 50 125 239 823.33 86.67
7 Colorpak Indonesia 25 980 5 32 1520 10 66 1650 20 41 1383.3 11.66 8 Sepatu Bata 1,551 14000 435 266 23000 6361 1212 20500 816 544.33 19167 629 9 Gudang Garam 524 10200 250 750 8500 250 977 4250 350 750.33 7650 283.33 10 Sinar Mas 219 3650 46 344 6000 5 364 1700 180 309 3783.3 77 11 Multi Bintang 3492 55000 264 4005 55000 36 10551 49500 15 4968.3 53167 105 12 Mayora Indah 122 1620 35 185 1750 40 256 1140 50 187.67 1503.3 41.66
13 Fast Food Indonesia 154 1820 20 230 2450 45 281 3100 57 221.67 2456.7 40.66
LAMPIRAN III-1
HASIL PERHITUNGAN ANALISIS REGRESI BERGANDA BERDASARKAN DATA CROSSECTION
TAHUN 2006-2008
REGRESI EPS, HARGA SAHAM TERHADAP DIVIDEN TAHUN 2006
Descriptive Statistics 101.4286 133.13135 14 180.9286 159.65129 14 9925.0000 16676.37654 14 DIV EPS HRG Mean Std. Deviation N Correlations 1.000 .547 .104 .547 1.000 -.550 .104 -.550 1.000 . .021 .361 .021 . .021 .361 .021 . 14 14 14 14 14 14 14 14 14 DIV EPS HRG DIV EPS HRG DIV EPS HRG Pearson Correlation Sig. (1-tailed) N DIV EPS HRG Variables Entered/Removedb HRG, EPSa . Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: DIV b.
Model Summaryb .731a .535 .450 492.39437 .535 6.322 2 11 .015 1.157 Model 1 R R Square Adjusted R Square Std. Error of the Estimate R Square
Change F Change df1 df2 Sig. F Change
Change Statistics
Durbin-Watson Predictors: (Constant), HRG, EPS
a.
Dependent Variable: DIV b. ANOVAb 3065407 2 1532703.282 6.322 .015a 2666974 11 242452.215 5732381 13 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), HRG, EPS a.
Dependent Variable: DIV b. Coefficientsa 12.971 335.515 .039 .970 -725.492 751.433 35.211 10.005 .866 3.519 .005 13.190 57.231 .547 .728 .724 .698 1.433 3.866 1.639 .581 2.359 .038 .258 7.473 .104 .580 .485 .698 1.433 (Constant) EPS HRG Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients
t Sig. Lower Bound Upper Bound 95% Confidence Interval for B
Zero-order Partial Part Correlations
Tolerance VIF Collinearity Statistics
Dependent Variable: DIV a.
LAMPIRAN III-3
Coefficient Correlationsa 1.000 .550 .550 1.000 2.686 9.013 9.013 100.099 HRG EPS HRG EPS Correlations Covariances Model 1 HRG EPSDependent Variable: DIV a. Collinearity Diagnosticsa 2.217 1.000 .03 .04 .04 .693 1.789 .00 .24 .21 .091 4.943 .97 .72 .75 Dimension 1 2 3 Model 1 Eigenvalue Condition
Index (Constant) EPS HRG
Variance Proportions
Dependent Variable: DIV a. Residuals Statisticsa 240.6687 1816.9166 1038.9286 485.59294 14 -801.360 781.72815 .00000 452.93694 14 -1.644 1.602 .000 1.000 14 -1.627 1.588 .000 .920 14 Predicted Value Residual Std. Predicted Value Std. Residual
Minimum Maximum Mean Std. Deviation N
Dependent Variable: DIV a.
REGRESI EPS, HARGA SAHAM TERHADAP DIVIDEN TAHUN 2007
Descriptive Statistics 265.5714 608.57813 14 520.5000 1023.37201 14 12035.71 18669.36146 14 DIV EPS HRG Mean Std. Deviation N Correlations 1.000 .054 .790 .054 1.000 -.422 .790 -.422 1.000 . .427 .000 .427 . .066 .000 .066 . 14 14 14 14 14 14 14 14 14 DIV EPS HRG DIV EPS HRG DIV EPS HRG Pearson Correlation Sig. (1-tailed) N DIV EPS HRG Variables Entered/Removedb HRG, EPSa . Enter Model 1 Variables Entered Variables Removed MethodAll requested variables entered. a.
Dependent Variable: DIV b.
LAMPIRAN VI-2
Model Summaryb .898a .807 .772 534.62125 .807 22.951 2 11 .000 1.495 Model 1 R R Square Adjusted R Square Std. Error of the Estimate R SquareChange F Change df1 df2 Sig. F Change
Change Statistics
Durbin-Watson Predictors: (Constant), HRG, EPS
a.
Dependent Variable: DIV b. ANOVAb 13119691 2 6559845.433 22.951 .000a 3144019 11 285819.876 16263710 13 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), HRG, EPS a.
Dependent Variable: DIV b. Coefficientsa -181.769 279.449 -.650 .529 -796.833 433.295 32.971 10.228 .471 3.224 .008 10.459 55.482 .054 .697 .427 .822 1.217 5.280 .781 .989 6.763 .000 3.561 6.998 .790 .898 .897 .822 1.217 (Constant) EPS HRG Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients
t Sig. Lower Bound Upper Bound 95% Confidence Interval for B
Zero-order Partial Part Correlations
Tolerance VIF Collinearity Statistics
Dependent Variable: DIV a.
Coefficient Correlationsa 1.000 .422 .422 1.000 .610 3.369 3.369 104.613 HRG EPS HRG EPS Correlations Covariances Model 1 HRG EPS
Dependent Variable: DIV a. Collinearity Diagnosticsa 2.054 1.000 .06 .06 .06 .793 1.609 .00 .22 .36 .154 3.657 .94 .72 .58 Dimension 1 2 3 Model 1 Eigenvalue Condition
Index (Constant) EPS HRG
Variance Proportions
Dependent Variable: DIV a. Residuals Statisticsa -558.3405 5758.6865 674.5000 1575.82143 14 -1471.03 1484.847 .00000 744.66928 14 -.782 3.226 .000 1.000 14 -1.817 1.834 .000 .920 14 Predicted Value Residual Std. Predicted Value Std. Residual
Minimum Maximum Mean Std. Deviation N
Dependent Variable: DIV a.
LAMPIRAN V-1
REGRESI EPS, HARGA SAHAM TERHADAP DIVIDEN TAHUN 2008
Descriptive Statistics 191.2857 233.56680 14 1407.2857 2862.36875 14 8992.9286 15335.21318 14 DIV EPS HRG Mean Std. Deviation N Correlations 1.000 .432 .168 .432 1.000 -.582 .168 -.582 1.000 . .061 .283 .061 . .015 .283 .015 . 14 14 14 14 14 14 14 14 14 DIV EPS HRG DIV EPS HRG DIV EPS HRG Pearson Correlation Sig. (1-tailed) N DIV EPS HRG Variables Entered/Removedb HRG, EPSa . Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: DIV b.
Model Summaryb .672a .452 .352 518.86965 .452 4.536 2 11 .037 1.320 Model 1 R R Square Adjusted R Square Std. Error of the Estimate R Square
Change F Change df1 df2 Sig. F Change
Change Statistics
Durbin-Watson Predictors: (Constant), HRG, EPS
a.
Dependent Variable: DIV b. ANOVAb 2442569 2 1221284.750 4.536 .037a 2961483 11 269225.714 5404052 13 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), HRG, EPS a.
Dependent Variable: DIV b. Coefficientsa 13.530 354.375 .038 .970 -766.443 793.504 28.943 9.922 .800 2.917 .014 7.104 50.781 .432 .660 .651 .662 1.511 3.992 1.730 .633 2.308 .041 .184 7.799 .168 .571 .515 .662 1.511 (Constant) EPS HRG Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients
t Sig. Lower Bound Upper Bound
95% Confidence Interval for B
Zero-order Partial Part Correlations
Tolerance VIF Collinearity Statistics
Dependent Variable: DIV a.
LAMPIRAN V-3
Coefficient Correlationsa 1.000 .582 .582 1.000 2.992 9.984 9.984 98.449 HRG EPS HRG EPS Correlations Covariances Model 1 HRG EPSDependent Variable: DIV a. Collinearity Diagnosticsa 2.177 1.000 .03 .04 .04 .733 1.723 .00 .21 .21 .089 4.944 .97 .75 .75 Dimension 1 2 3 Model 1 Eigenvalue Condition
Index (Constant) EPS HRG
Variance Proportions
Dependent Variable: DIV a. Residuals Statisticsa 15.7855 670.7973 191.2143 201.30135 14 -146.822 255.81987 .00000 118.57660 14 -.871 2.382 .000 1.000 14 -1.139 1.985 .000 .920 14 Predicted Value Residual Std. Predicted Value Std. Residual
Minimum Maximum Mean Std. Deviation N
Dependent Variable: DIV a.
LAMPIRAN VI-1
Regresi Rata-Rata Selama 3 Tahun (2006-2008)
Descriptive Statistics 136.7981 170.74955 14 608.5443 1273.86979 14 10317.95 16794.94978 14 DIV EPS HRG Mean Std. Deviation N Correlations 1.000 .616 .482 .616 1.000 -.128 .482 -.128 1.000 . .010 .041 .010 . .331 .041 .331 . 14 14 14 14 14 14 14 14 14 DIV EPS HRG DIV EPS HRG DIV EPS HRG Pearson Correlation Sig. (1-tailed) N DIV EPS HRG Variables Entered/Removedb HRG, EPSa . Enter Model 1 Variables Entered Variables Removed Method
All requested variables entered. a.
Dependent Variable: DIV b.
LAMPIRAN VI-2
Model Summaryb .836a .699 .644 989.27815 .699 12.751 2 11 .001 .715 Model 1 R R Square Adjusted R Square Std. Error of the Estimate R SquareChange F Change df1 df2 Sig. F Change
Change Statistics
Durbin-Watson Predictors: (Constant), HRG, EPS
a.
Dependent Variable: DIV b. ANOVAb 24958098 2 12479049.24 12.751 .001a 10765384 11 978671.261 35723482 13 Regression Residual Total Model 1 Sum of
Squares df Mean Square F Sig.
Predictors: (Constant), HRG, EPS a.
Dependent Variable: DIV b. Coefficientsa -265.163 734.414 -.361 .725 -1881.597 1351.272 38.627 9.359 .689 4.127 .002 18.029 59.226 .616 .780 .683 .984 1.017 3.931 1.151 .570 3.414 .006 1.397 6.465 .482 .717 .565 .984 1.017 (Constant) EPS HRG Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients
t Sig. Lower Bound Upper Bound 95% Confidence Interval for B
Zero-order Partial Part Correlations
Tolerance VIF Collinearity Statistics
Dependent Variable: DIV a.
LAMPIRAN VI-3
Coefficient Correlationsa 1.000 .128 .128 1.000 1.326 1.379 1.379 87.588 HRG EPS HRG EPS Correlations Covariances Model 1 HRG EPSDependent Variable: DIV a. Collinearity Diagnosticsa 2.626 1.000 .02 .03 .03 .290 3.011 .00 .37 .50 .084 5.584 .98 .60 .46 Dimension 1 2 3 Model 1 Eigenvalue Condition
Index (Constant) EPS HRG
Variance Proportions
Dependent Variable: DIV a. Residuals Statisticsa 882.4119 5763.7451 3188.2143 1385.58786 14 -1628.66 1555.200 .00000 910.00354 14 -1.664 1.859 .000 1.000 14 -1.646 1.572 .000 .920 14 Predicted Value Residual Std. Predicted Value Std. Residual
Minimum Maximum Mean Std. Deviation N
Dependent Variable: DIV a.
LAMPIRAN VII. Tabel Hasil t-hitung dan t-tabel
VARIABEL
TAHUN
t-hitung
t-tabel n
14, sig
0,025
Keterangan
EPS terhadap Dividen
2006
3,519
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
parsial EPS mempengaruhi Dividen
HARGA SAHAM
terhadap Dividen
2006
2,359
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
parsial Harga Saham mempengaruhi Dividen
EPS terhadap Dividen
2007
3,224
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
parsial EPS mempengaruhi Dividen
HARGA SAHAM
terhadap Dividen
2007
6,763
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
parsial Harga Saham mempengaruhi Dividen
EPS terhadap Dividen
2008
2,917
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
parsial EPS mempengaruhi Dividen
HARGA SAHAM
terhadap Dividen
2008
2,308
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
parsial Harga Saham mempengaruhi Dividen
EPS terhadap Dividen
Tahun
rata-rata
4,127
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
parsial EPS mempengaruhi Dividen
HARGA SAHAM
terhadap Dividen
Tahun
rata-rata
3,414
2,201
t-hitung > t-tabel, Ho ditolak, Ha diterima, secara
VARIABEL
TAHUN
F-hitung
F-tabel
Sig-F
Keterangan
EPS DAN HARGA SAHAM
TERHADAP DIVIDEN
2006
6,322
3,59
0.015
F-hitung > F-tabel, Ho ditolak, Ha diterima, secara simultan
EPS, dan Harga Saham mempengaruhi Dividen
EPS DAN HARGA SAHAM
TERHADAP DIVIDEN
2007
22,951
3,59
0,000
F-hitung > F-tabel, Ho ditolak, Ha diterima, secara simultan
EPS, dan Harga Saham mempengaruhi Dividen
EPS DAN HARGA SAHAM
TERHADAP DIVIDEN
2008
4,536
3,59
0,037
F-hitung > F-tabel, Ho ditolak, Ha diterima, secara simultan
EPS, dan Harga Saham mempengaruhi Dividen
EPS DAN HARGA SAHAM
TERHADAP DIVIDEN
Tahun
rata-rata
12,751
3,59
0,001
F-hitung > F-tabel, Ho ditolak, Ha diterima, secara simultan
EPS, dan Harga Saham mempengaruhi Dividen
LAMPIRAN XI. HASIL UJI ASUMSI MODEL DENGAN UJI NORMALITAS
1.0 0.8 0.6 0.4 0.2 0.0Observed Cum Prob
1.0 0.8 0.6 0.4 0.2 0.0 E x p e c te d C u m P ro b
Dependent Variable: DIVIDEN
Normal P-P Plot of Regression Standardized Residual
Berdasarkan gambar diatas dapat dilihat bahwa nilai Risidual mendekati garis, jadi Model yang digunakan dalam penelitian ini
berdistribusi normal.
Model Summaryb .943a .889 .869 459.92322 .889 44.040 2 11 .000 .981 Model 1 R R Square Adjusted R Square Std. Error of the Estimate R Square
Change F Change df1 df2 Sig. F Change
Change Statistics
Durbin-Watson Predictors: (Constant), HRG, EPS
a.
Dependent Variable: DIV b.
Berdasarkan hasil perhitungan regresi linier berganda diperoleh nilai Durbin Watson sebesar 0,981. Dengan
demikian nilai DW tidak lebih dari 2,92, sehingga dapat disimpulkan bahwa model regresi linier berganda tersebut
tidak terjadi gejala Autokorelasi.
LAMPIRAN XI. HASIL UJI ASUMSI MODEL DENGAN UJI MULTIKOLINIERITAS
Coefficientsa -652.286 279.564 -2.333 .040 -1267.603 -36.969 50.596 15.242 .360 3.320 .007 17.049 84.143 .640 .707 .333 .860 1.163 7.274 1.055 .747 6.896 .000 4.952 9.596 .882 .901 .693 .860 1.163 (Constant) EPS HRG Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficientst Sig. Lower Bound Upper Bound 95% Confidence Interval for B
Zero-order Partial Part Correlations
Tolerance VIF Collinearity Statistics
Dependent Variable: DIV a.
Jika nilai VIF tidak lebih besar dari 10 maka dapat disimpulkan bahwa model regresi tersebut tidak terdapat
problem Multikolinieritas. Berdasarkan hasil perhitungan diatas diperoleh nilai VIF 1,163. Maka dapat
disimpulkan bahwa model regresi dalam penelitian ini tidak terdapat problem Multikolinieritas.
2 1
0 -1
-2
Regression Standardized Residual
4 3 2 1 0 -1 R eg re ss io n S ta n d ar d iz ed P re d ic te d V a lu e
Dependent Variable: DIVIDEN Scatterplot
Pada gambar terlihat titik-titik menyebar secara acak, dan tidak membuat sebuah pola tertentu yang jelas, serta tersebar baik di atas
maupun di bawah angka 0 pada sumbu Y. Hal ini berarti tidak terjadi heteroskedasitas pada model regresi yang diguankan dalam
penelitian ini.
LAMPIRAN XIII. CAPITAL GAIN DAN LOSS CAPITAL
NO PERUSAHAAN2006
2007
2008
1 Merck10.500
12.500
-17.000
2 United Tractor3550
4.350
-6.500
3 Tunas Ridean350
530
-490
4 Indo Kordsa200
100
-100
5 Metrodata Electronics150
104
-113
6 Sumi Indo Kabel
250
330
-650
7 Colorpak Indonesia
350
540
130
8 Sepatu Bata7500
9.000
-3500
9 Gudang Garam500
-1700
-4.250
10 Sinar Mas2100
2350
-4300
11 Multi Bintang800
1000
-5500
12 Mayora Indah100
130
-610
13 Fast Food Indonesia