用的x,y,w三列数据做五次趋势面分析，w为因变量，下面得到的结果，希望高人解读一下（如果太乱可查看附件）：
Number of Observations Read 458
Number of Observations Used 458
The GLM Procedure
Dependent Variable: w
Sum of
Source DF Squares Mean Square F Value Pr > F
Model 20 2937183.72 146859.19 4.95 <.0001
Error 437 12963761.74 29665.36
Corrected Total 457 15900945.45
R-Square Coeff Var Root MSE w Mean
0.184718 75.20782 172.2363 229.0139
Source DF Type I SS Mean Square F Value Pr > F
x 1 688036.5623 688036.5623 23.19 <.0001
y 1 301954.9448 301954.9448 10.18 0.0015
x*x 1 4284.3567 4284.3567 0.14 0.7041
x*y 1 141856.8577 141856.8577 4.78 0.0293
y*y 1 18696.7755 18696.7755 0.63 0.4277
x*x*x 1 10346.2648 10346.2648 0.35 0.5551
x*x*y 1 236018.3092 236018.3092 7.96 0.0050
x*y*y 1 38383.4462 38383.4462 1.29 0.2560
y*y*y 1 513929.6862 513929.6862 17.32 <.0001
x*x*x*x 1 56614.4514 56614.4514 1.91 0.1678
x*x*x*y 1 47451.6018 47451.6018 1.60 0.2066
x*x*y*y 1 298218.1136 298218.1136 10.05 0.0016
x*y*y*y 1 26699.7850 26699.7850 0.90 0.3433
y*y*y*y 1 12412.4648 12412.4648 0.42 0.5181
x*x*x*x*x 1 5522.5300 5522.5300 0.19 0.6663
x*x*x*x*y 1 340999.8438 340999.8438 11.49 0.0008
x*x*x*y*y 1 109837.7530 109837.7530 3.70 0.0550
x*x*y*y*y 1 1485.1560 1485.1560 0.05 0.8231
x*y*y*y*y 1 12900.3181 12900.3181 0.43 0.5100
y*y*y*y*y 1 71534.4976 71534.4976 2.41 0.1212
Source DF Type III SS Mean Square F Value Pr > F
x 1 26309.9929 26309.9929 0.89 0.3468
y 1 19159.4606 19159.4606 0.65 0.4220
x*x 1 89.0850 89.0850 0.00 0.9563
x*y 1 2973.9212 2973.9212 0.10 0.7517
y*y 1 5414.4673 5414.4673 0.18 0.6694
x*x*x 1 14422.9912 14422.9912 0.49 0.4860
x*x*y 1 18349.1663 18349.1663 0.62 0.4320
x*y*y 1 32689.1290 32689.1290 1.10 0.2944
y*y*y 1 33595.7871 33595.7871 1.13 0.2878
x*x*x*x 1 88184.2114 88184.2114 2.97 0.0854
x*x*x*y 1 39651.2399 39651.2399 1.34 0.2483
x*x*y*y 1 40064.9803 40064.9803 1.35 0.2458
x*y*y*y 1 62254.0481 62254.0481 2.10 0.1482
y*y*y*y 1 58218.1560 58218.1560 1.96 0.1620
x*x*x*x*x 1 234451.0844 234451.0844 7.90 0.0052
x*x*x*x*y 1 182969.8283 182969.8283 6.17 0.0134
x*x*x*y*y 1 66645.5389 66645.5389 2.25 0.1346
x*x*y*y*y 1 46167.3539 46167.3539 1.56 0.2129
x*y*y*y*y 1 71807.6580 71807.6580 2.42 0.1205
y*y*y*y*y 1 71534.4976 71534.4976 2.41 0.1212
Standard
Parameter Estimate Error t Value Pr > |t|
Intercept 128.5434898 49.43697335 2.60 0.0096
x 1.1275767 1.19732079 0.94 0.3468
y 0.7456003 0.92776770 0.80 0.4220
x*x -0.0009363 0.01708600 -0.05 0.9563
x*y 0.0045171 0.01426646 0.32 0.7517
y*y 0.0024336 0.00569625 0.43 0.6694
x*x*x -0.0000682 0.00009779 -0.70 0.4860
x*x*y -0.0000903 0.00011483 -0.79 0.4320
x*y*y -0.0000551 0.00005252 -1.05 0.2944
y*y*y -0.0000145 0.00001363 -1.06 0.2878
x*x*x*x 0.0000004 0.00000021 1.72 0.0854
x*x*x*y 0.0000004 0.00000036 1.16 0.2483
x*x*y*y 0.0000003 0.00000023 1.16 0.2458
x*y*y*y 0.0000001 0.00000007 1.45 0.1482
y*y*y*y 0.0000000 0.00000001 1.40 0.1620
x*x*x*x*x -0.0000000 0.00000000 -2.81 0.0052
x*x*x*x*y -0.0000000 0.00000000 -2.48 0.0134
x*x*x*y*y -0.0000000 0.00000000 -1.50 0.1346
x*x*y*y*y -0.0000000 0.00000000 -1.25 0.2129
x*y*y*y*y -0.0000000 0.00000000 -1.56 0.1205
y*y*y*y*y -0.0000000 0.00000000 -1.55 0.1212
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