Dependent Variable: Y |
Method: Least Squares |
Sample: 1 106 |
Included observations: 106 |
Variable | Coefficient | Std. Error | t-Statistic | Prob.
|
C | 13.37970 | 1.874970 | 7.135953 | 0.0000 |
X1 | 0.305112 | 0.221626 | 1.376697 | 0.1716 |
X2 | -0.839156 | 0.149797 | -5.601953 | 0.0000 |
X3 | -0.065327 | 0.037624 | -1.736308 | 0.0856 |
X4 | 1.471686 | 1.012579 | 1.453405 | 0.1492 |
R-squared | 0.253591 |
Mean dependent var
| 2.639057 |
Adjusted R-squared | 0.224030 |
S.D. dependent var
| 2.005774 |
S.E. of regression | 1.766869 |
Akaike info criterion
| 4.022316 |
Sum squared resid | 315.3045 |
Schwarz criterion
| 4.147950 |
Log likelihood | -208.1828 |
F-statistic
| 8.578646 |
Durbin-Watson stat | 2.126738 |
Prob(F-statistic)
| 0.000005 |
请问一下这个模型可以在论文中用吗,很迷惑,R2比较小,拟合程度一般或较差,但我看别人的论文中R2较小的也用了,请教到底可不可以在论文中使用,还有哪里可以改进的,如何改啊,谢谢啦!