X1 -0,011371 0,004492 -2,53 0,012 X2 0,00000156 0,00000074 2,11 0,036
X3 19,816 1,560 12,71 0,000 X4 -9,076 6,438 -1,41 0,161
S = 26,3298 R-Sq = 69,1 R-Sqadj = 68,3
Lampiran 4. Lanjutan
Analysis of Variance Source DF SS MS F P
Regression 4 223735 55934 80,68 0,000 Residual Error 144 99829 693
Total 148 323563 Source DF Seq SS
X1 1 56612 X2 1 55192
X3 1 110553 X4 1 1378
Unusual Observations Obs X1 Y Fit SE Fit Residual St Resid
16 388 219,00 156,27 5,00 62,73 2,43R 26 420 233,60 101,07 3,45 132,53 5,08R
44 291 240,90 227,03 8,63 13,87 0,56 X 48 452 210,00 143,59 6,62 66,41 2,61R
74 996 80,30 102,45 8,99 -22,15 -0,89 X 85 117 255,50 248,14 9,47 7,36 0,30 X
111 116 233,60 173,31 4,44 60,29 2,32R 120 159 113,15 180,49 7,05 -67,34 -2,65R
123 3569 25,50 4,88 12,05 20,62 0,88 X 128 925 29,20 63,89 14,24 -34,69 -1,57 X
132 1644 54,75 109,88 5,29 -55,13 -2,14R 133 370 73,00 126,12 2,84 -53,12 -2,03R
134 1370 80,30 132,23 5,46 -51,93 -2,02R 139 162 80,30 148,30 3,83 -68,00 -2,61R
140 365 65,70 121,50 3,91 -55,80 -2,14R 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 = 23,5 - 0,0119 X1 + 0,000002 X2 + 19,6 X3
Predictor Coef SE Coef T P Constant 23,466 8,188 2,87 0,005
X1 -0,011924 0,004490 -2,66 0,009 X2 0,00000172 0,00000073 2,37 0,019
X3 19,584 1,556 12,59 0,000 S = 26,4192 R-Sq = 68,7 R-Sqadj = 68,1
Analysis of Variance Source DF SS MS F P
Regression 3 222357 74119 106,19 0,000 Residual Error 145 101207 698
Universitas Sumatera Utara
Total 148 323563 Source DF Seq SS
X1 1 56612 X2 1 55192
X3 1 110553
Lampiran 4. Lanjutan
Unusual Observations Obs X1 Y Fit SE Fit Residual St Resid
16 388 219,00 158,38 4,79 60,62 2,33R 26 420 233,60 101,98 3,40 131,62 5,02R
48 452 210,00 136,69 4,48 73,31 2,82R 74 996 80,30 96,21 7,85 -15,91 -0,63 X
85 117 255,50 250,51 9,35 4,99 0,20 X 111 116 233,60 174,70 4,34 58,90 2,26R
120 159 113,15 172,63 4,32 -59,48 -2,28R 123 3569 25,50 4,64 12,09 20,86 0,89 X
128 925 29,20 68,24 13,95 -39,04 -1,74 X 132 1644 54,75 110,20 5,31 -55,45 -2,14R
133 370 73,00 127,33 2,72 -54,33 -2,07R 134 1370 80,30 132,40 5,48 -52,10 -2,02R
139 162 80,30 149,39 3,76 -69,09 -2,64R 140 365 65,70 122,21 3,89 -56,51 -2,16R
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 = 27,3 - 0,0122 X1 + 21,2 X3
Predictor Coef SE Coef T P Constant 27,288 8,152 3,35 0,001
X1 -0,012159 0,004559 -2,67 0,009 X3 21,222 1,415 14,99 0,000
S = 26,8319 R-Sq = 67,5 R-Sqadj = 67,1 Analysis of Variance
Source DF SS MS F P Regression 2 218450 109225 151,71 0,000
Residual Error 146 105113 720 Total 148 323563
Source DF Seq SS X1 1 56612
X3 1 161838 Unusual Observations
Obs X1 Y Fit SE Fit Residual St Resid 16 388 219,00 149,90 3,22 69,10 2,59R
26 420 233,60 107,07 2,68 126,53 4,74R
Universitas Sumatera Utara
44 291 240,90 214,75 6,63 26,15 1,01 X 48 452 210,00 127,90 2,54 82,10 3,07R
70 385 233,60 213,60 6,68 20,00 0,77 X 85 117 255,50 238,08 7,86 17,42 0,68 X
110 2107 47,45 22,88 6,68 24,57 0,95 X 111 116 233,60 174,44 4,41 59,16 2,24R
120 159 113,15 173,91 4,36 -60,76 -2,29R 123 3569 25,50 5,12 12,28 20,38 0,85 X
126 2237 43,80 42,53 6,84 1,27 0,05 X 127 1073 87,60 141,57 4,07 -53,97 -2,03R
Lampiran 4. Lanjutan
132 1644 54,75 113,41 5,21 -58,66 -2,23R 133 370 73,00 128,90 2,68 -55,90 -2,09R
134 1370 80,30 137,96 5,02 -57,66 -2,19R 139 162 80,30 152,65 3,56 -72,35 -2,72R
140 365 65,70 128,96 2,69 -63,26 -2,37R R denotes an observation with a large standardized residual.
X denotes an observation whose X value gives it large leverage.
2.Persamaan Linier-Logaritma a. Persamaan Pertama
The regression equation is Y = - 148 - 15,6 Ln X1 + 37,2 Ln X2 + 162 Ln X3 - 27,9 Ln X4 - 46,7 Ln X5
+ 2,04 Ln X6 Predictor Coef SE Coef T P
Constant -147,88 82,69 -1,79 0,076 Ln X1 -15,619 6,916 -2,26 0,025
Ln X2 37,23 11,75 3,17 0,002 Ln X3 161,87 13,92 11,63 0,000
Ln X4 -27,90 22,98 -1,21 0,227 Ln X5 -46,69 19,50 -2,39 0,018
Ln X6 2,037 4,646 0,44 0,662 S = 27,7826 R-Sq = 66,1 R-Sqadj = 64,7
Analysis of Variance Source DF SS MS F P
Regression 6 213958 35660 46,20 0,000 Residual Error 142 109606 772
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 Ln X6 1 148
Unusual Observations Obs Ln X1 Y Fit SE Fit Residual St Resid
16 2,59 219,00 162,76 6,04 56,24 2,07R 26 2,62 233,60 107,85 5,48 125,75 4,62R
48 2,66 210,00 147,46 7,17 62,54 2,33R 85 2,07 255,50 198,81 8,45 56,69 2,14R
Universitas Sumatera Utara
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
