请问有哪位好人能帮我详细解释下这个用E—views做出的计量结果？是否存在自相关？

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Dependent Variable: Y  
Method: Least Squares   
Sample: 1988 2009  
Included observations: 22  
   
   
Variable Coefficient Std. Error t-Statistic Prob.  
   
   
C -14.99716 0.958864 -15.64056 0.0000
X1 0.598961 0.157185 3.810554 0.0012
X2 4.333847 0.725273 5.975467 0.0000
   
   
R-squared 0.987437     Mean dependent var 7.057318
Adjusted R-squared 0.986114     S.D. dependent var 1.475478
S.E. of regression 0.173868     Akaike info criterion -0.534917
Sum squared resid 0.574372     Schwarz criterion -0.386138
Log likelihood 8.884082     F-statistic 746.6630
Durbin-Watson stat 0.893982     Prob(F-statistic) 0.000000
   
   

Y = -14.99716259 + 0.5989607655*X1 + 4.333847136*X2



Pairwise Granger Causality Tests
Date: 03/16/11   Time: 22:01
Sample: 1988 2009
Lags: 2  
   
   
  Null Hypothesis: Obs F-Statistic Probability
   
   
  X1 does not Granger Cause Y 20  1.94131  0.17792
  Y does not Granger Cause X1  9.58076  0.00209
   
   
  X2 does not Granger Cause Y 20  3.99397  0.04068
  Y does not Granger Cause X2  0.54285  0.59208
   
   
  X2 does not Granger Cause X1 20  4.28475  0.03373
  X1 does not Granger Cause X2  6.98705  0.00717

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