Lampiran 4. Lanjutan
b. Persamaan Regresi Kedua
The regression equation is Y = 58,2 - 0,0113 X1 + 0,000001 X2 + 19,8 X3 - 10,8 X4 - 1,61 X5
Predictor        Coef     SE Coef      T      P Constant        58,17       17,61   3,30  0,001
X1          -0,011273    0,004461  -2,53  0,013 X2         0,00000149  0,00000073   2,04  0,043
X3             19,754       1,549  12,75  0,000 X4            -10,764       6,466  -1,66  0,098
X5            -1,6147      0,9269  -1,74  0,084 S = 26,1457   R-Sq = 69,8   R-Sqadj = 68,7
Analysis of Variance Source           DF      SS     MS      F      P
Regression        5  225809  45162  66,07  0,000 Residual Error  143   97754    684
Total           148  323563 Source  DF  Seq SS
X1       1   56612 X2       1   55192
X3       1  110553 X4       1    1378
X5       1    2075 Unusual Observations
Obs    X1       Y     Fit  SE Fit  Residual  St Resid 16   388  219,00  160,16    5,44     58,84      2,30R
26   420  233,60  105,71    4,34    127,89      4,96R 44   291  240,90  232,37    9,11      8,53      0,35 X
48   452  210,00  144,45    6,60     65,55      2,59R 85   117  255,50  241,68   10,11     13,82      0,57 X
111   116  233,60  177,35    4,98     56,25      2,19R 120   159  113,15  176,60    7,34    -63,45     -2,53R
122  1313   87,60  139,18    5,55    -51,58     -2,02R 123  3569   25,50   10,05   12,33     15,45      0,67 X
127  1073   87,60  142,33    4,88    -54,73     -2,13R 128   925   29,20   67,62   14,30    -38,42     -1,76 X
133   370   73,00  125,66    2,84    -52,66     -2,03R 139   162   80,30  142,91    4,90    -62,61     -2,44R
R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage.
c. Persamaan Regresi Ketiga
The regression equation is Y = 40,1 - 0,0114 X1 + 0,000002 X2 + 19,8 X3 - 9,08 X4
Predictor        Coef     SE Coef      T      P Constant        40,06       14,32   2,80  0,006
Universitas Sumatera Utara
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