执行 . bootstrap, reps(1000) noisily : regress wc cfo lcfo pcfo 命令后的结果如下:
bootstrap: First call to regress with data as is:
. regress wc cfo lcfo pcfo
Source | SS df MS Number of obs = 966
-------------+------------------------------ F( 3, 962) = 72.52
Model | 2.25942074 3 .753140247 Prob > F = 0.0000
Residual | 9.99078939 962 .010385436 R-squared = 0.1844
-------------+------------------------------ Adj R-squared = 0.1819
Total | 12.2502101 965 .012694518 Root MSE = .10191
------------------------------------------------------------------------------
wc | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
cfo | -.6946874 .0486058 -14.29 0.000 -.790073 -.5993019
lcfo | .3907053 .0466717 8.37 0.000 .2991151 .4822955
pcfo | .1559095 .0439631 3.55 0.000 .0696349 .242184
_cons | -.004381 .0042047 -1.04 0.298 -.0126325 .0038705
------------------------------------------------------------------------------
Bootstrap replications (1000)
. regress wc cfo lcfo pcfo
Source | SS df MS Number of obs = 966
-------------+------------------------------ F( 3, 962) = 52.72
Model | 1.75333499 3 .584444998 Prob > F = 0.0000
Residual | 10.6647989 962 .01108607 R-squared = 0.1412
-------------+------------------------------ Adj R-squared = 0.1385
--more--
请问再执行什么命令可以直接在结果中列示出每一次重复抽样回归结果中的R2和Adj R2 ?
谢谢!!急用啊!