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Correlations: CAR, NPLGROSS, NIM, BOPO, LDR, ROA Regression Analysis: ROA versus CAR, NPLGROSS, NIM, BOPO, LDR Principal Component Analysis: Z1, Z2, Z3, Z4, Z5

Lampiran 2. Pengolahan Data dengan Minitab 14

a. Correlations: CAR, NPLGROSS, NIM, BOPO, LDR, ROA

CAR NPLGROSS NIM BOPO LDR NPLGROSS -0.366 0.086 NIM 0.554 -0.816 0.006 0.000 BOPO -0.895 0.247 -0.421 0.000 0.256 0.046 LDR -0.422 0.800 -0.798 0.273 0.045 0.000 0.000 0.208 ROA 0.865 -0.156 0.338 -0.992 -0.177 0.000 0.478 0.115 0.000 0.420 Cell Contents: Pearson correlation P-Value

b. Regression Analysis: ROA versus CAR, NPLGROSS, NIM, BOPO, LDR

The regression equation is ROA = 4.69 - 0.0316 CAR + 0.0303 NPLGROSS - 0.048 NIM - 0.0501 BOPO + 0.0246 LDR Predictor Coef SE Coef T P VIF Constant 4.691 1.335 3.51 0.003 CAR -0.03155 0.04110 -0.77 0.453 6.4 NPLGROSS 0.03029 0.02484 1.22 0.239 3.8 NIM -0.0475 0.2824 -0.17 0.868 4.5 BOPO -0.050104 0.001871 -26.78 0.000 5.4 LDR 0.02465 0.01318 1.87 0.079 3.5 S = 0.895595 R-Sq = 99.5 R-Sqadj = 99.4 Lanjutan Lampiran 2 c. Analysis of Variance Source DF SS MS F P Regression 5 2806.86 561.37 699.89 0.000 Residual Error 17 13.64 0.80 Total 22 2820.49 Source DF Seq SS CAR 1 2108.33 NPLGROSS 1 83.88 NIM 1 8.19 BOPO 1 603.65 LDR 1 2.81 Durbin-Watson statistic = 1.01303

d. Principal Component Analysis: Z1, Z2, Z3, Z4, Z5

Eigenanalysis of the Correlation Matrix Eigenvalue 3.2599 1.2839 0.2071 0.1616 0.0875 Proportion 0.652 0.257 0.041 0.032 0.017 Cumulative 0.652 0.909 0.950 0.983 1.000 Variable PC1 PC2 PC3 PC4 PC5 Z1 0.431 0.519 -0.102 -0.043 -0.730 Z2 -0.456 0.402 -0.522 -0.585 0.124 Z3 0.503 -0.213 0.294 -0.770 0.149 Z4 -0.370 -0.629 -0.068 -0.219 -0.644 Z5 -0.464 0.357 0.792 -0.124 -0.123

e. Regresi Komponen Utama

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