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
The regression equation is Y = 50,6 - 17,4 Ln X1 + 179 Ln X3
Predictor Coef SE Coef T P Constant 50,56 23,75 2,13 0,035
Ln X1 -17,413 7,249 -2,40 0,018 Ln X3 179,01 13,33 13,43 0,000
S = 29,2096 R-Sq = 61,5 R-Sqadj = 61,0 Analysis of Variance
Source DF SS MS F P Regression 2 198996 99498 116,62 0,000
Residual Error 146 124567 853 Total 148 323563
Source DF Seq SS Ln X1 1 45197
Ln X3 1 153799 Unusual Observations
Obs Ln X1 Y Fit SE Fit Residual St Resid 16 2,59 219,00 144,78 3,35 74,22 2,56R
26 2,62 233,60 112,67 2,51 120,93 4,16R 44 2,46 240,90 178,49 5,15 62,41 2,17R
Universitas Sumatera Utara
48 2,66 210,00 129,45 2,74 80,55 2,77R 85 2,07 255,50 193,53 6,40 61,97 2,17R
106 2,84 29,20 1,19 8,04 28,01 1,00 X 110 3,32 47,45 -7,31 8,00 54,76 1,95 X
111 2,06 233,60 165,92 5,45 67,68 2,36R 114 2,86 51,10 0,77 8,01 50,33 1,79 X
123 3,55 25,50 -11,29 8,50 36,79 1,32 X 128 2,97 29,20 -1,08 7,88 30,28 1,08 X
132 3,22 54,75 119,69 4,84 -64,94 -2,25R 139 2,21 80,30 151,39 4,47 -71,09 -2,46R
140 2,56 65,70 131,06 2,84 -65,36 -2,25R R denotes an observation with a large standardized residual.
X denotes an observation whose X value gives it large leverage.
Lampiran 4. Lanjutan 3. Persamaan Logaritma-Linier
a. Persamaan Pertama
The regression equation is Ln Y = 1,79 - 0,000060 X1 - 0,000000 X2 + 0,0863 X3 - 0,0548 X4 -
0,00149 X5 - 0,000017 X6
Predictor Coef SE Coef T P Constant 1,79283 0,07463 24,02 0,000
X1 -0,00006039 0,00001885 -3,20 0,002 X2 -0,00000000 0,00000000 -0,10 0,918
X3 0,086251 0,006566 13,14 0,000 X4 -0,05484 0,02750 -1,99 0,048
X5 -0,001492 0,003931 -0,38 0,705 X6 -0,00001659 0,00004694 -0,35 0,724
S = 0,110462 R-Sq = 68,7 R-Sqadj = 67,4 Analysis of Variance
Source DF SS MS F P Regression 6 3,80373 0,63396 51,96 0,000
Residual Error 142 1,73265 0,01220 Total 148 5,53638
Source DF Seq SS X1 1 1,10976
X2 1 0,55360 X3 1 2,08762
X4 1 0,04974 X5 1 0,00149
X6 1 0,00152 Unusual Observations
Obs X1 Ln Y Fit SE Fit Residual St Resid 26 420 2,36847 1,99249 0,01966 0,37598 3,46R
40 244 2,11860 2,06871 0,04377 0,04988 0,49 X
Universitas Sumatera Utara
85 117 2,40739 2,50964 0,04327 -0,10225 -1,01 X 94 560 1,60369 1,79453 0,04286 -0,19085 -1,87 X
106 685 1,46538 1,70801 0,02502 -0,24263 -2,26R 120 159 2,05365 2,31048 0,03103 -0,25683 -2,42R
123 3569 1,40654 1,54085 0,05212 -0,13431 -1,38 X 128 925 1,46538 1,69457 0,06061 -0,22919 -2,48RX
132 1644 1,73838 1,99401 0,02543 -0,25563 -2,38R 139 162 1,90472 2,16956 0,02077 -0,26485 -2,44R
140 365 1,81757 2,07282 0,02090 -0,25525 -2,35R 141 342 1,76641 1,98976 0,01536 -0,22335 -2,04R
R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage.
b. Persamaan Regresi Kedua
