如果一个最小二线性回归模型，自变量的参数通过检验，而调整的R方，很低，说明了什么？怎么处理？

如：Dependent Variable: LNDSCY    
Method: Least Squares    
Date: 04/24/09   Time: 17:49    
Sample (adjusted): 1995 2007    
Included observations: 13 after adjustments    
    
 Coefficient                          Prob. 
    
LNWANGANG                          0.052
C                                           0.0005896
    
R-squared 0.3000902589850764    
Adjusted R-squared 0.2364621007109925    

F-statistic 4.716312197697297    

Durbin-Watson stat  0.423585110870976
Prob(F-statistic) 0.05262034292298581