03 DAFTAR PUSTAKA Arifin Ali, 00, Membaca Saham, Edisi I, Yogyakarta : Andi Bapepam, 004, Ringkasan Data Perusahaan, Jakarta : Bapepam Darmadji Tjiptono dan Fakhruddin M Hendy, 006, Pasar Modal di Indonesia, Edisi, Pendekatan Tanya Jawab, Jakarta: Salemba Empat Donald E Kieso and Jerry J.Weygandt. 00, Intermediate Accounting, Edisi Kesembilan, Canada : John Wiley Sons,Inc Husnan Suad, 005, Dasar-dasar Teori Portofolio dan Analisis Sekuritas, Edisis Keempat, Yogyakarta: Unit Penerbit dan Percetakan AMP YKPN Ikatan Akuntan Indonesia, 007, Pernyataan Standar Akuntansi Keuangan, Jakarta : Salemba Empat Jogiyanto, 000, Teori Portofolio dan Analisis Investasi, Yogyakarta : BPFE- Yogya Martono dan Harjito D Agus, 007, Manajemen Keuangan, Yogyakarta: EKONISIA Munawir, 00, Analisis Laporan Keuangan konsep & Aplikasi Edisi Pertama, Yogyakarta,YPKN Riduwan, 005, Metode dan Teknik Menyusun Tesis, Bandung : CV. Alfabeta. Santosa, Purbayu Budi dan Ashari, 005, Analisis Statistik dengan Microsoft Excell dan SPSS, Yogyakarta : Andi. Sartono Agus, 000, Manajemen Keuangana Teori dan Aplikasi, Edisi Keempat, Yogyakarta: BPFE Soemarso SR, 004, Akuntansi Suatu Pengantar, Edisi 4, Jakarta : Bhineka Cipta Sofyan Syafri Harahap, 004, Analisis Kritis Atas Laporan Keuangan, Cetakan Kedua Jakarta : PT. Raja Grafindo Sugiyono, 005, Metode Penelitian Bisnis,Bandung: CV Alfabeta Triton, P.B. 006. SPSS Terapan : Riset Statistik Parametrik. Yogyakarta: ANDI.
04 Frequencies N Mean Median Mode Std. Deviation Variance Range Minimum Maximum Sum Valid Missing Statistics a. Multiple modes exist. The smallest value is shown Harga ROA-X ROE-X EPS-X3 saham-y 8 8 8 8 0 0 0 0,5,670 34,8750 3444,004,594,853 38,5000 398,9583,79 a 8,94 a 36,00 a 04,58 a,80,84 68,797 70,5,048 3,38 4647,554 6386,6 5,87 90,00 395,00,79 8,94 36,00 04,58,4 4,8 46,00 5939,58 7,7 8,37 599,00 755, 08
05 NPar Tests One-Sample Kolmogorov-Smirnov Test N Normal Parameters a,b Most Extreme Differences Kolmogorov-Smirnov Z As ymp. Sig. (-tailed) Me an Std. Deviation Absolute Positive Negative a. Test distribution is Normal. b. Calculated from data. Harga ROA-X ROE-X EPS-X3 saham-y 8 8 8 8,5,670 34,8750 3444,004,80,84 68,797 70,5,35,3,85,56,85,0,85,56 -,35 -,3 -,6 -,30,665,63,54,44,768,80,947,990
06 Harga ROA-X saham-y ROA-X Pearson Correlation Sig. (-tailed),77*,05 N 8 8 Harga saham-y Pearson Correlation,77* Sig. (-tailed) N,05 8 8 *. Correlation is s ignificant at the 5 level (-tailed). Harga ROE-X saham-y ROE-X Pearson Correlation Sig. (-tailed),736*,037 N 8 8 Harga saham-y Pearson Correlation,736* Sig. (-tailed) N,037 8 8 *. Correlation is s ignificant at the 5 level (-tailed). Harga EPS-X3 saham-y EPS-X3 Pearson Correlation Sig. (-tailed),859**,006 N 8 8 Harga saham-y Pearson Correlation,859** Sig. (-tailed) N,006 8 8 **. Correlation is s ignificant at the level (-tailed).
07 Regression Variables Entered/Removed b Variables Variables Entered Removed Method ROA-X a. Enter a. All requested variables entered. b. Summary b Adjusted Std. Error of Durbin- R R Square R Square the Estimate Watson,77 a,596,59 87,00776,4 a. Predictors: (Constant), ROA-X b. Dependent Variable: Harga s aham-y Regres sion Residual Total ANOVA b Sum of Squares df Mean Square F Sig. 673058 673058,374 8,85,05 a 45647 6 76040,793 9998 7 a. Predic tors: (Constant), ROA-X b. (Constant) ROA-X Unstandardized Coefficients Coefficients a Standardized Coefficients Collinearity Statistics t Sig. Tolerance VIF B Std. Error Beta -6508,994 3359,589 -,937,0 4493,0 50,59,77,975,05,000,000 Coefficient a Covariances ROA-X ROA-X ROA-X,000 80883 a. Dependent Variable: Harga s aham-y
08 Collinearity Diagnostics a Dimension Condit ion Variance Proportions Eigenvalue Index (Const ant) ROA-X,996,000,00,00,004,748,00,00 Predic ted Value Std. Predicted Value Standard Error of Predic ted Value Adjust ed Predicted Value Residual St d. Residual St ud. Residual Deleted Residual St ud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value Residuals Statistics a Minimum Maximum Mean St d. Deviat ion N 55,80 434,6 3444,00 980,56699 8 -, 930,898,000,000 8 36,754 706,793 40,685,473 8 74,78378 439,685 373,768 368,9455 8-77,96 65,467,000000 807,3503 8 -,835,853,000,96 8 -,93,5,07, 8-907,768 5,85 70,47 46,95593 8 -,90 3,90,36,649 8,049 3,74,875,84 8,003,898,36,665 8,007,53,5,69 8 Histogram 3.0.5 Frequency.0.5.0 0.5 -.0-0.5 0.5.0.5 Regression Standardized Residual.0 Mean = -4.44E-6 Std. Dev. = 0.96 N = 8
09 Normal P-P Plot of Regression Standardized Residual.0 0.8 Expected Cum Prob 0.6 0.4 0. 0. 0.4 0.6 0.8 Observed Cum Prob.0 Scatterplot Regression Studentized Deleted (Press) Residual 4 3 0 - -.0 -.5 -.0-0.5 0.5 Regression Standardized Predicted Value.0
0 Regression Variables Entered/Removed b Variables Variables Entered Removed Method ROE-X a. Enter a. All requested variables entered. b. Summary b Adjusted Std. Error of Durbin- R R Square R Square the Estimate Watson,736 a,54,466 98,048356,365 a. Predictors: (Constant), ROE-X b. Dependent Variable: Harga s aham-y Regres sion Residual Total ANOVA b Sum of Squares df Mean Square F Sig. 65356 65355,6 7,,037 a 567643 6 8673,75 9998 7 a. Predic tors: (Constant), ROE-X b. (Constant) ROE-X Unstandardized Coefficients Coefficients a Standardized Coefficients Collinearity Statistics t Sig. Tolerance VIF B Std. Error Beta -899,685 4378,433 -,873,0 53,597 9,587,736,667,037,000,000 Coefficient a Covariances ROE-X ROE-X ROE-X,000 37089,840 a. Dependent Variable: Harga s aham-y
Collinearity Diagnostics a Dimension Condit ion Variance Proportions Eigenvalue Index (Const ant) ROE-X,997,000,00,00,003 6,65,00,00 Predic ted Value Std. Predicted Value Standard Error of Predic ted Value Adjust ed Predicted Value Residual St d. Residual St ud. Residual Deleted Residual St ud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value Residuals Statistics a Minimum Maximum Mean St d. Deviat ion N 56,87 4543,686 3444,00 935,4450 8 -, 050,76,000,000 8 38,69 790,4 439,53 59,03 8-435,353 4337,608 358,5 507,900 8-064,84 395,897,000000 859,058 8 -, 47,504,000,96 8 -, 4,87,09,45 8-47,9 706,86 85,8590 440,30975 8 -, 36,505,,348 8,000 4,00,875,434 8,000 3,083,5,068 8,000,600,5,05 8 Histogram.0 Frequency.5.0 0.5 - - 0 Regression Standardized Residual Mean = -8.33E-7 Std. Dev. = 0.96 N = 8
Normal P-P Plot of Regression Standardized Residual.0 Expected Cum Prob 0.8 0.6 0.4 0. 0. 0.4 0.6 0.8 Observed Cum Prob.0 Scatterplot 3 Regression Studentized Deleted (Press) Residual 0 - - - Regression Standardized Predicted Value 0
3 Regression Variables Entered/Removed b Variables Variables Entered Removed Method EPS-X3 a. Enter a. All requested variables entered. b. Summary b Adjusted Std. Error of Durbin- R R Square R Square the Estimate Watson,859 a,739,695 70,595,69 a. Predictors: (Constant), EPS-X3 b. Dependent Variable: Harga s aham-y Regres sion Residual Total ANOVA b Sum of Squares df Mean Square F Sig. 834464 834464,7 6,965,006 a 950534 6 49755,65 9998 7 a. Predic tors: (Constant), EPS-X3 b. (Constant) EPS-X3 Unstandardized Coefficients Coefficients a Standardized Coefficients Collinearity Statistics t Sig. Tolerance VIF B Std. Error Beta -758,37 87,80 -,366, 6,03 3,888,859 4,9,006,000,000 Coefficient a Covariances EPS-X3 EPS-X3 EPS-X3,000 5,6 a. Dependent Variable: Harga s aham-y
4 Collinearity Diagnostics a Dimension Condit ion Variance Proportions Eigenvalue Index (Const ant) EPS-X3,98,000,0,0,09 0,86,99,99 Predic ted Value Std. Predicted Value Standard Error of Predic ted Value Adjust ed Predicted Value Residual St d. Residual St ud. Residual Deleted Residual St ud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value Residuals Statistics a Minimum Maximum Mean St d. Deviat ion N 00,8 5063,374 3444,00 09,687045 8 -, 304,483,000,000 8 59,984 464,808 343,954 7,777 8 04,435 559,357 3456,658 77,8640 8-673,79 37,67,000000 649,34044 8 -,96,957,000,96 8 -, 83,30 -,006,00 8-0,77 896,300 -,6476 93,933 8 -, 375 6,9,466,359 8,087,00,875,75 8,000,00,9,38 8,0,34,5,07 8 Histogram 3.0.5.0.5 Frequency.0 0.5 -.0-0.5 0.5.0.5 Regression Standardized Residual.0 Mean = -3.33E-6 Std. Dev. = 0.96 N = 8
5 Normal P-P Plot of Regression Standardized Residual.0 Expected Cum Prob 0.8 0.6 0.4 0. 0. 0.4 0.6 0.8 Observed Cum Prob.0 Scatterplot Regression Studentized Deleted (Press) Residual 6 4 0 - -.5 -.0-0.5 0.5.0.5 Regression Standardized Predicted Value
6 Regression Variables Entered/Removed b Variables Variables Entered Removed Method EPS-X3, ROE-X, ROA-X a. Enter a. All requested variables entered. b. Summary b Adjusted Std. Error of Durbin- R R Square R Square the Estimate Watson,903 a,85,676 73,459,50 a. Predictors: (Constant), EPS-X3, ROE-X, ROA-X b. Dependent Variable: Harga s aham-y Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig. 999679 3 3066559,797 7,860,045 a 09339 4 5339,685 9998 7 a. Predictors: (Constant), EPS-X3, ROE-X, ROA-X b. (Constant) ROA-X ROE-X EPS-X3 Unstandardized Coefficients Coefficients a Standardized Coefficients Collinearity Statistics t Sig. Tolerance VIF B Std. Error Beta -568,96 358,406 -,568,9-30,573 398,4 -,5 -,397,7,44 6,99 38,543 308,704,47,064,347,36 4,9 3,906 6,686,746,080,06,360,779
7 Covariances Coefficient a EPS-X3 ROE-X ROA-X EPS-X3 ROE-X ROA-X a. Dependent Variable: Harga s aham-y EPS-X3 ROE-X ROA-X,000,8 -,647,8,000 -,786 -,647 -,786,000 44,698 449,906-469, 449,906 9597,863-800434 -469, -800434 E+007 Collinearity Diagnostics a Condition Variance Proportions Dimension Eigenvalue Index (Constant) ROA-X ROE-X EPS-X3 3,976,000,00,00,00,00,0 3,857,07,00,00,43 3,003 8,89,89,0,,34 4,00 5,443,04,90,89,3 Predic ted Value Std. Predicted Value Standard Error of Predic ted Value Adjust ed Predicted Value Residual St d. Residual St ud. Residual Deleted Residual St ud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value Residuals Statistics a Minimum Maximum Mean St d. Deviat ion N 3,580 588,07 3444,00 46,403033 8 -, 45,5,000,000 8 308,765 709,003 49,887 46,97 8-59, 68,76 89,406 44,03696 8-798,64 073,674,000000 546,850559 8 -, 04,484,000,756 8 -, 675,9,3,07 8-838,59 3530,050 55,6043 697,344580 8 -, 655 6,006,53,477 8,400 5,849,65,04 8,000 5,78,078,94 8,057,836,375,89 8
8 Histogram 3.0.5 Frequency.0.5.0 0.5 Mean =.5E-5 Std. Dev. = 0.756 N = 8 -.5 -.0-0.5 0.5.0.5 Regression Standardized Residual Normal P-P Plot of Regression Standardized Residual.0 Expected Cum Prob 0.8 0.6 0.4 0. 0. 0.4 0.6 0.8 Observed Cum Prob.0
9 Scatterplot Regression Studentized Deleted (Press) Residual 7.5 5.0.5 -.5-5.0-0 Regression Standardized Predicted Value