1.59E-02 |
2.00E-02 |
3.00E-02 |
4.00E-02 |
5.00E-02 |
6.00E-02 |
8.00E-02 |
8.80E-02 |
3.95E+01 |
2.20E+01 |
7.79E+00 |
3.75E+00 |
2.15E+00 |
1.38E+00 |
7.22E-01 |
5.92E-01 |
Regression 16.623 1 16.623 8721.792 .000
Residual .011 6 .002
Total 16.635 7
The independent variable is energy.
Coefficients
Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
ln(energy) -2.470 .026 -1.000 -93.391 .000
(Constant) .001 .000 11.650 .000
The dependent variable is ln(sum).
我要是去掉最后两组数据,会得到
ANOVA
Sum of Squares df Mean Square F Sig.
Regression 8.703 1 8.703 67665.971 .000
Residual .001 4 .000
Total 8.704 5
The independent variable is energy.
Coefficients
Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
ln(energy) -2.532 .010 -1.000 -260.127 .000
(Constant) .001 .000 29.658 .000
The dependent variable is ln(sum).
请问,如果我要求3.9×10-2的值 是不是第二组数据更准确?但是用两组数据算出的值分别为3.02和3.693,从第一组数据看出拟合的数据比真实的偏大,而第二次看似更准备的回归居然比第一个数据更大,求大家帮帮忙。如果我的方法不对,请指教,小弟在这先谢过了~~~~