eviews回归结果分析,这个结果怎么分析,需要做哪些来完善模型Dependent Variable:Y\x05\x05\x05\x05Method:Least Squares\x05\x05\x05\x05Date:11/03/11 Time:23:13\x05\x05\x05\x05Sample:1 30\x05\x05\x05\x05Included observations:30\x05\x0

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eviews回归结果分析,这个结果怎么分析,需要做哪些来完善模型Dependent Variable:Y\x05\x05\x05\x05Method:Least Squares\x05\x05\x05\x05Date:11/03/11 Time:23:13\x05\x05\x05\x05Sample:1 30\x05\x05\x05\x05Included observations:30\x05\x0
eviews回归结果分析,这个结果怎么分析,需要做哪些来完善模型
Dependent Variable:Y\x05\x05\x05\x05
Method:Least Squares\x05\x05\x05\x05
Date:11/03/11 Time:23:13\x05\x05\x05\x05
Sample:1 30\x05\x05\x05\x05
Included observations:30\x05\x05\x05\x05
\x05\x05\x05\x05
Variable\x05Coefficient\x05Std.Error\x05t-Statistic\x05Prob.
\x05\x05\x05\x05
C\x051.589283\x051.014238\x051.566972\x050.1292
X1\x056.383710\x051.627655\x053.922029\x050.0006
X2\x051.826808\x052.278855\x050.801634\x050.4300
X3\x05-2.516409\x051.699155\x05-1.480977\x050.1506
\x05\x05\x05\x05
R-squared\x050.887635\x05 Mean dependent var\x05\x052.907000
Adjusted R-squared\x050.874669\x05 S.D.dependent var\x05\x050.528891
S.E.of regression\x050.187238\x05 Akaike info criterion\x05\x05-0.389305
Sum squared resid\x050.911511\x05 Schwarz criterion\x05\x05-0.202479
Log likelihood\x059.839577\x05 F-statistic\x05\x0568.46268
Durbin-Watson stat\x050.611674\x05 Prob(F-statistic)\x05\x050.000000