随机效应模型结果
GLS Transformed Regression
R-squared 0.068133 Mean dependent var 0.001222
Adjusted R-squared 0.061934 S.D. dependent var 1.116680
S.E. of regression 1.081547 Sum squared resid 527.5541
Durbin-Watson stat 1.422142
Unweighted Statistics including Random Effects
R-squared 0.108698 Mean dependent var 0.001222
Adjusted R-squared 0.102769 S.D. dependent var 1.116680
S.E. of regression 1.057744 Sum squared resid 504.5891
Durbin-Watson stat 1.486866
固定效应模型结果
Variable Coefficient Std. Error t-Statistic Prob.
X2? -0.537406 0.686016 -0.783373 0.4339
X3? -1.461571 0.513276 -2.847536 0.0047
X4? -0.897871 0.872018 -1.029648 0.3039
R-squared 0.263547 Mean dependent var 0.001222
Adjusted R-squared 0.073824 S.D. dependent var 1.116680
S.E. of regression 1.074671 Sum squared resid 416.9252
F-statistic 64.59371 Durbin-Watson stat 1.782649
Prob(F-statistic) 0.000000
普通的
Variable Coefficient Std. Error t-Statistic Prob.
C 0.580636 0.318721 1.821768 0.0692
X2? -0.825772 0.317441 -2.601335 0.0096
X3? -0.232367 0.239502 -0.970211 0.3325
X4? 0.063003 0.300767 0.209475 0.8342
R-squared 0.016109 Mean dependent var 0.001222
Adjusted R-squared 0.009565 S.D. dependent var 1.116680
S.E. of regression 1.111327 Sum squared resid 557.0061
F-statistic 2.461436 Durbin-Watson stat 1.348630
Prob(F-statistic) 0.062019
因变量x1是用spss主成分得到的,很多是负数。自变量是原始数据.上面结果怎么看