Persamaan Regresi Kedua Persamaan Regresi Ketiga

110 3,32 47,45 -8,77 8,11 56,22 2,12R 111 2,06 233,60 174,31 6,25 59,29 2,19R 128 2,97 29,20 38,34 13,02 -9,14 -0,37 X 132 3,22 54,75 109,30 5,50 -54,55 -2,00R 133 2,57 73,00 128,61 2,93 -55,61 -2,01R 139 2,21 80,30 141,10 5,39 -60,80 -2,23R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage. Lampiran 4. Lanjutan

b. Persamaan Regresi Kedua

The regression equation is Y = - 147 - 15,7 Ln X1 + 37,8 Ln X2 + 161 Ln X3 - 26,5 Ln X4 - 47,4 Ln X5 Predictor Coef SE Coef T P Constant -147,18 82,44 -1,79 0,076 Ln X1 -15,669 6,896 -2,27 0,025 Ln X2 37,80 11,64 3,25 0,001 Ln X3 161,48 13,86 11,65 0,000 Ln X4 -26,50 22,70 -1,17 0,245 Ln X5 -47,40 19,38 -2,45 0,016 S = 27,7040 R-Sq = 66,1 R-Sqadj = 64,9 Analysis of Variance Source DF SS MS F P Regression 5 213809 42762 55,71 0,000 Residual Error 143 109754 768 Total 148 323563 Source DF Seq SS Ln X1 1 45197 Ln X2 1 61546 Ln X3 1 101964 Ln X4 1 511 Ln X5 1 4591 Unusual Observations Obs Ln X1 Y Fit SE Fit Residual St Resid 16 2,59 219,00 161,68 5,49 57,32 2,11R 26 2,62 233,60 108,93 4,88 124,67 4,57R 48 2,66 210,00 146,45 6,77 63,55 2,37R 85 2,07 255,50 197,80 8,11 57,70 2,18R 110 3,32 47,45 -7,62 7,65 55,07 2,07R 111 2,06 233,60 174,98 6,04 58,62 2,17R 127 3,03 87,60 142,35 5,33 -54,75 -2,01R 128 2,97 29,20 38,28 12,99 -9,08 -0,37 X 133 2,57 73,00 128,47 2,91 -55,47 -2,01R 139 2,21 80,30 140,95 5,36 -60,65 -2,23R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage. Universitas Sumatera Utara

c. Persamaan Regresi Ketiga

The regression equation is Y = - 200 - 16,6 Ln X1 + 39,3 Ln X2 + 160 Ln X3 - 18,3 Ln X4 Predictor Coef SE Coef T P Constant -199,82 80,95 -2,47 0,015 Ln X1 -16,639 7,003 -2,38 0,019 Ln X2 39,26 11,83 3,32 0,001 Ln X3 159,92 14,08 11,36 0,000 Ln X4 -18,32 22,83 -0,80 0,424 S = 28,1792 R-Sq = 64,7 R-Sqadj = 63,7 Analysis of Variance Source DF SS MS F P Regression 4 209218 52305 65,87 0,000 Residual Error 144 114345 794 Total 148 323563 Source DF Seq SS Ln X1 1 45197 Ln X2 1 61546 Ln X3 1 101964 Ln X4 1 511 Unusual Observations Obs Ln X1 Y Fit SE Fit Residual St Resid 16 2,59 219,00 155,04 4,85 63,96 2,30R 26 2,62 233,60 101,61 3,93 131,99 4,73R 48 2,66 210,00 145,72 6,88 64,28 2,35R 111 2,06 233,60 168,53 5,53 65,07 2,36R 120 2,20 113,15 169,93 7,35 -56,78 -2,09R 128 2,97 29,20 32,79 13,01 -3,59 -0,14 X 132 3,22 54,75 115,52 4,82 -60,77 -2,19R 133 2,57 73,00 129,84 2,90 -56,84 -2,03R 139 2,21 80,30 148,47 4,47 -68,17 -2,45R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage.

d. Persamaan Regresi Keempat

The regression equation is Y = - 214 - 16,9 Ln X1 + 40,8 Ln X2 + 159 Ln X3 Predictor Coef SE Coef T P Constant -213,90 78,92 -2,71 0,008 Ln X1 -16,896 6,987 -2,42 0,017 Ln X2 40,81 11,66 3,50 0,001 Ln X3 159,23 14,03 11,35 0,000 S = 28,1445 R-Sq = 64,5 R-Sqadj = 63,8 Analysis of Variance Universitas Sumatera Utara Source DF SS MS F P Regression 3 208707 69569 87,83 0,000 Residual Error 145 114856 792 Total 148 323563 Source DF Seq SS Ln X1 1 45197 Ln X2 1 61546 Ln X3 1 101964 Unusual Observations Obs Ln X1 Y Fit SE Fit Residual St Resid 16 2,59 219,00 156,26 4,60 62,74 2,26R 26 2,62 233,60 101,98 3,90 131,62 4,72R Lampiran 4. Lanjutan 48 2,66 210,00 141,42 4,32 68,58 2,47R 111 2,06 233,60 169,60 5,36 64,00 2,32R 114 2,86 51,10 9,29 8,09 41,81 1,55 X 123 3,55 25,50 -13,55 8,22 39,05 1,45 X 128 2,97 29,20 34,80 12,75 -5,60 -0,22 X 132 3,22 54,75 115,99 4,78 -61,24 -2,21R 133 2,57 73,00 130,62 2,73 -57,62 -2,06R 139 2,21 80,30 149,29 4,35 -68,99 -2,48R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage.

e. Persamaan Regresi Kelima