今天在做模型的时候发现T值和F值比较大,说明什么啊?
(α=0.05 n=20 k=3 )
Dependent Variable: LOG(Y) |
Method: Least Squares |
Date: 03/27/10
Time: 12:01 |
Sample: 1989 2008 |
Included observations: 20 |
Variable | Coefficient | Std. Error | t-Statistic | Prob.
|
C | 1.028040 | 0.011679 | 88.02308 | 0.0000 |
LOG(X1) | 0.185215 | 0.010196 | 18.16575 | 0.0000 |
LOG(X2) | 0.475763 | 0.007041 | 67.57250 | 0.0000 |
LOG(X3) | 0.344166 | 0.008459 | 40.68525 | 0.0000 |
R-squared | 0.999969 |
Mean dependent var
| 5.440243 |
Adjusted R-squared | 0.999964 |
S.D. dependent var
| 0.818287 |
S.E. of regression | 0.004943 |
Akaike info criterion
| -7.604962 |
Sum squared resid | 0.000391 |
Schwarz criterion
| -7.405816 |
Log likelihood | 80.04962 |
F-statistic
| 173582.3 |
Durbin-Watson stat | 1.018493 |
Prob(F-statistic)
| 0.000000 |