以下是我的eviews的回归分析结果,看不懂,Dependent Variable:P\x05\x05\x05\x05Method:Least Squares\x05\x05\x05\x05Date:12/28/11 Time:19:57\x05\x05\x05\x05Sample:1991 2009\x05\x05\x05\x05Included observations:19\x05\x05\x05\x05\x05\x05\x05\

以下是我的eviews的回归分析结果,看不懂,Dependent Variable:P\x05\x05\x05\x05Method:Least Squares\x05\x05\x05\x05Date:12/28/11 Time:19:57\x05\x05\x05\x05Sample:1991 2009\x05\x05\x05\x05Included observations:19\x05\x05\x05\x05\x05\x05\x05\
以下是我的eviews的回归分析结果,看不懂,
Dependent Variable:P\x05\x05\x05\x05
Method:Least Squares\x05\x05\x05\x05
Date:12/28/11 Time:19:57\x05\x05\x05\x05
Sample:1991 2009\x05\x05\x05\x05
Included observations:19\x05\x05\x05\x05
\x05\x05\x05\x05
Variable\x05Coefficient\x05Std.Error\x05t-Statistic\x05Prob.
\x05\x05\x05\x05
C\x05-15.59154\x0523.81942\x05-0.654572\x050.5227
A\x050.947019\x050.293140\x053.230600\x050.0056
E\x050.247311\x050.168875\x051.464465\x050.1637
X\x05-6.863469\x053.190672\x05-2.151105\x050.0482
\x05\x05\x05\x05
R-squared\x050.744915\x05 Mean dependent var\x05\x05108.7474
Adjusted R-squared\x050.693898\x05 S.D.dependent var\x05\x0511.31451
S.E.of regression\x056.259924\x05 Akaike info criterion\x05\x056.690877
Sum squared resid\x05587.7997\x05 Schwarz criterion\x05\x056.889706
Log likelihood\x05-59.56333\x05 F-statistic\x05\x0514.60130
Durbin-Watson stat\x052.239957\x05 Prob(F-statistic)\x05\x050.000101

以下是我的eviews的回归分析结果,看不懂,Dependent Variable:P\x05\x05\x05\x05Method:Least Squares\x05\x05\x05\x05Date:12/28/11 Time:19:57\x05\x05\x05\x05Sample:1991 2009\x05\x05\x05\x05Included observations:19\x05\x05\x05\x05\x05\x05\x05\
挑重要的说吧：
因变量p,最小二乘方法,样本数19,公式应该是p=-15.59154+0.947019a+0.247311e-6.863469x
常数项c和自变量e的参数都不显著,都无法拒绝不为0的原假设.拟合优度为0.744915,调整的拟合优度为0.693898. dw值为2.239957,不存在明显的自相关.总体上模型的拟合优度较低,且参数显著性也不太好,样本数量太少可能是主要原因.
既然用了计量方法和计量软件,多少少也需要了解一下背后的原理和软件的使用.