Lampiran 1: Data Investasi Perusahaan GE, US, GM dan WEST
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2 Lampiran 1: Data Investasi Perusahaan GE, US, GM dan WEST Tahun GE US I F C I F C Keterangan: GE US I F C : Perusahaan General Elecric : Perusahaan U.S Steel : Investasi : Market value of firm : Konsumsi
3 Tahun GM WEST I F C I F C Keterangan: GM : Perusahaan General Motor WEST : Perusahaan Westinghouse I F C : Investasi : Market value of firm : Konsumsi
4 Lampiran 2: Syntax Program SAS 9.1 Proc Syslin SUR data investasi; input year ge_i ge_f ge_c us_i us_f us_c gm_i gm_f gm_c west_i west_f west_c; label ge_i = 'Gross Investment, GE' ge_f = 'Value of Firm, GE' ge_c = 'Stock of Plant and Equipment, GE' us_i = ' Gross Investment, US' us_f = 'Value of Firm, US' us_c = 'Stock of Plant and Equipment,US' gm_i = 'Gross Investment, GM' gm_f = 'Value of Firm, GM' gm_c = 'Stock of Plant and Equipment, GM' west_i = 'Gross Investment, WEST' west_f = 'Value of Firm, WEST' west_c = 'Stock of Plant and Equipment, WEST'; datalines;
5 ; proc syslin data= investasi sur; ge: model ge_i = ge_f ge_c; us: model us_i = us_f us_c; gm: model gm_i = gm_f gm_c; west: model west_i = west_f west_c; run;
6 Lampiran 3 : Output Program SAS 9.1 Proc Syslin SUR Estimasi Seemingly Unrelated Regression 1 22:55 Wednesday, August 29, 2012 The SYSLIN Procedure Ordinary Least Squares Estimation GE ge_i Gross Investment, GE Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F <.0001 Error Corrected Total Root MSE R-Square Dependent Mean Adj R-Sq Coeff Var Variable DF Estimate Error t Value Pr > t Intercept Intercept ge_f Value of Firm, GE ge_c <.0001 Stock of Plant and Equipment, GE
7 Estimasi Seemingly Unrelated Regression 2 22:55 Wednesday, August 29, 2012 The SYSLIN Procedure Ordinary Least Squares Estimation US us_i Gross Investment, US Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Error Corrected Total Root MSE R-Square Dependent Mean Adj R-Sq Coeff Var Variable DF Estimate Error t Value Pr > t Intercept Intercept us_f Value of Firm, US us_c Stock of Plant and Equipment,US
8 Estimasi Seemingly Unrelated Regression 3 22:55 Wednesday, August 29, 2012 The SYSLIN Procedure Ordinary Least Squares Estimation GM gm_i Gross Investment, GM Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F <.0001 Error Corrected Total Root MSE R-Square Dependent Mean Adj R-Sq Coeff Var Variable DF Estimate Error t Value Pr > t Intercept Intercept gm_f Value of Firm, GM gm_c <.0001 Stock of Plant and Equipment, GM
9 Estimasi Seemingly Unrelated Regression 4 22:55 Wednesday, August 29, 2012 The SYSLIN Procedure Ordinary Least Squares Estimation WEST west_i Gross Investment, WEST Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Error Corrected Total Root MSE R-Square Dependent Mean Adj R-Sq Coeff Var Variable DF Estimate Error t Value Pr > t Intercept Intercept west_f Value of Firm, WEST west_c Stock of Plant and Equipment, WEST
10 Estimasi Seemingly Unrelated Regression 5 22:55 Wednesday, August 29, 2012 The SYSLIN Procedure Seemingly Unrelated Regression Estimation Cross Covariance GE US GM WEST GE US GM WEST Cross Correlation GE US GM WEST GE US GM WEST Cross Inverse Correlation GE US GM WEST GE US GM WEST Cross Inverse Covariance GE US GM WEST GE US GM WEST System Weighted MSE Degrees of freedom 68 System Weighted R-Square GE ge_i Gross Investment, GE
11 Estimasi Seemingly Unrelated Regression 6 22:55 Wednesday, August 29, 2012 The SYSLIN Procedure Seemingly Unrelated Regression Estimation Variable DF Estimate Error t Value Pr > t Intercept Intercept ge_f Value of Firm, GE ge_c <.0001 Stock of Plant and Equipment, GE US us_i Gross Investment, US Variable DF Estimate Error t Value Pr > t Intercept Intercept us_f Value of Firm, US us_c Stock of Plant and Equipment,US GM gm_i Gross Investment, GM Variable DF Estimate Error t Value Pr > t Intercept Intercept gm_f Value of Firm, GM gm_c <.0001 Stock of Plant and Equipment, GM WEST west_i Gross Investment, WEST
12 Estimasi Seemingly Unrelated Regression 7 22:55 Wednesday, August 29, 2012 The SYSLIN Procedure Seemingly Unrelated Regression Estimation Variable DF Estimate Error t Value Pr > t Intercept Intercept west_f Value of Firm, WEST west_c Stock of Plant and Equipment, WEST
13 Lampiran 4 : Residual Metode OLS
14 Lampiran 5 : Output SPSS Uji Kolmogorov-Smirnov Descriptive Statistics N Mean Std. Deviation Minimum Maximum errorols_ge errorols_us errorols_gm errorols_west One-Sample Kolmogorov-Smirnov Test errorols_ge errorols_us errorols_gm errorols_west N Normal Parameters a Mean Std. Deviation Most Extreme Differences Absolute Positive Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Test distribution is Normal.
15 Lampiran 6 : Perhitungan Normalitas Multivariat dengan Q-Q Plot diurutakan
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