下面是用Eviews软件进行的一阶回归分析结果，但不明白都是什么意思？知道的高手指点一下，我的QQ:149585218
用下式进行预测的时候，那个AR(1)的值加不加呢？？？
Dependent Variable: LOG(E)   
Method: Least Squares   
Date: 07/03/06   Time: 16:21   
Sample (adjusted): 1981 2002   
Included observations: 22 after adjustments   
Convergence achieved after 8 iterations   
   
Variable Coefficient Std. Error t-Statistic Prob.  
   
C 5.483440 0.631010 8.689935 0.0000
LOG(GDP) 0.391590 0.076262 5.134826 0.0001
AR(1) 0.804679 0.092810 8.670201 0.0000
   
R-squared 0.990281     Mean dependent var  8.334096
Adjusted R-squared 0.989258     S.D. dependent var  0.329284
S.E. of regression 0.034128     Akaike info criterion  -3.791289
Sum squared resid 0.022129     Schwarz criterion  -3.642511
Log likelihood 44.70418     F-statistic  968.0002
Durbin-Watson stat 2.174879     Prob(F-statistic)  0.000000
   
Inverted AR Roots       .80   
Estimation Command:
=====================
LS LOG(E) C LOG(GDP) AR(1)
Estimation Equation:
=====================
LOG(E) = C(1) + C(2)*LOG(GDP) + [AR(1)=C(3)]
Substituted Coefficients:
=====================
LOG(E) = 5.483439513 + 0.3915898105*LOG(GDP) + [AR(1)=0.8046786344]