附录 图1 155L 200220708090130140150130354045657075100 18353 77,143 12754 12690 74603231 通过检验,发现每条线路上都有一些向量回归很不显著,从而将这些影响很小的系 数值定为0,得到新的回归方程: y1=110.2965+0.0828x1+00483x2+0.0530x3+0.1199×4-00254x5+0.1220X6+0.1216x7 y2=131.2289-0.0546X1+0.1279x2+00333x4+0.0868X5-0.124x6+0.0987X8 y3=1088732-00695X1+0.0616x2-0.1566x3+0.1245x5-0.0025X7-0.2014x8 y4=7748170.0345x1-0.1024x2+0.2052x3-0.0208x40.0118x5+0.1449X7+0.0765x8 y5=1329745+0.2433X2-0.0646X3-0.0411x4-0.0652x5+0.0703X6 6=120.6633+0.2378x1-0.0602x20.0779X3+0.0930x4+0.0469X5+0.1659X7 如果剔除掉那些回归不显著的向量,重新进行回归,可得到回归方程: yl=1100164+0.083lx1+0.0488x2+0.0532x3+0.1200×4-0.0252x5+0.224x6+0.1211x7 y2=1314417-0.0568X1+0.1229X2+0.0325X4+0.0843x5-0.1159X6+0.0959X8 y3=10930840.0697x1+00613x2-0.1567X3+0.1243x5-00022x7-0.2016x8 y4=788167-0.0355x1-0.1046x2+0.2044x3-0.0212x4-0.0130x5+0.1467X7+0.0753x8 y5=1313861+0.2449X2-00640X3-0.0409X4-0.0644x5+0.0715X6 剔除回归不显著的因子前后的回归检验变量S与S'如下: 0.99951 5861.5 0.99948 65826 0.99565 23456 0.99987 0.99989 0.99959 6971.8 000000 9225.3 0.99975 13561 0 0.99725 18875 0.99984 17455 0.99983 24833附录一： 图 1： 通过检验，发现每条线路上都有一些向量回归很不显著，从而将这些影响很小的系 数值定为 0，得到新的回归方程： y1=110.2965+0.0828x1+0.0483x2+0.0530x3+0.1199x4-0.0254x5+0.1220x6+0.1216x7 y2=131.2289-0.0546x1+0.1279x2+0.0333x4+0.0868x5-0.1124x6+0.0987x8 y3=-108.8732-0.0695x1+0.0616x2-0.1566x3+0.1245x5-0.0025x7-0.2014x8 y4=77.4817-0.0345x1-0.1024x2+0.2052x3-0.0208x4-0.0118x5+0.1449x7+0.0765x8 y5=132.9745+0.2433x2-0.0646x3-0.0411x4-0.0652x5+0.0703x6 y6=120.6633+0.2378x1-0.0602x2-0.0779x3+0.0930x4+0.0469x5+0.1659x7 如果剔除掉那些回归不显著的向量，重新进行回归，可得到回归方程： y1=110.0164+0.0831x1+0.0488x2+0.0532x3+0.1200x4-0.0252x5+0.1224x6+0.1211x7 y2=131.4417-0.0568x1+0.1229x2+0.0325x4+0.0843x5-0.1159x6+0.0959x8 y3=-109.3084-0.0697x1+0.0613x2-0.1567x3+0.1243x5-0.0022x7-0.2016x8 y4=78.8167-0.0355x1-0.1046x2+0.2044x3-0.0212x4-0.0130x5+0.1467x7+0.0753x8 y5=131.3861+0.2449x2-0.0640x3-0.0409x4-0.0644x5+0.0715x6 剔除回归不显著的因子前后的回归检验变量 S 与 S’如下： 线 s s′ 路 1 0.99951 5861.5 0 0.99948 6582.6 0 2 0.99960 7228.7 0 0.99565 953.35 0 3 0.99987 22352 0 0.99955 9225.3 0 4 0.99989 25583 0 0.99975 13561 0 5 0.99959 6971.8 0 0.99725 1887.5 0 6 0.99984 17455 0 0.99983 24833 0 16