楼主看到我啊。。。
用了UCLA的方法,很容易得到结果,但是需要自己填入第一组数据的样本数。
又试着用楼主的方法。得到下面ANOVA结果
| Model | Dependent | Source | DF | SS | MS | FValue | ProbF | gr |
| all | capex | Model | 12 | 3.60878 | 0.300732 | 86.54504 | 7.6E-207 | |
| all | capex | Error | 13862 | 48.16848 | 0.003475 | | | |
| all | capex | Corrected Total | 13874 | 51.77726 | | | | |
| sub | capex | Model | 12 | 1.747119 | 0.145593 | 38.07043 | 4.73E-87 | hig |
| sub | capex | Error | 6570 | 25.12574 | 0.003824 | | | hig |
| sub | capex | Corrected Total | 6582 | 26.87285 | | | | hig |
| sub | capex | Model | 12 | 0.282139 | 0.023512 | 78.06683 | 4.6E-181 | low |
| sub | capex | Error | 7279 | 2.192237 | 0.000301 | | | low |
| sub | capex | Corrected Total | 7291 | 2.474377 | | | | low |
接下来就是用公式计算F值,我就有困惑了。
NumDF =(&n1+&n2) -DF1; *****这里的n1、n2分别指的是两组的样本数吧?DF1是13862?根据set &rn.ANOVA3(keep =Source DF SS &rn.grp where =(&rn.grp =. and Source ='Error') rename =(DF =DF1 SS =SS1));
我查到的资料说 NumDF = k + 1; where k is the number of slope parameters in the initial model. 那么其实就是自变量个数。楼主为什么要用两个分组的样本数之和减去没有分组的样本数呢?直接当source='model'时,取DF=12不可以?
楼主一定要看到我啊。。。谢谢谢谢!!!!!