本人刚学stata,大家多多指教.这是用stata的做的一个输出结果,.regress y x1 x2 x3Source | SS df MS Number of obs = 15-------------+------------------------------ F( 3,11) = 2.39Model | .314572294 3 .104857431 Prob > F = 0.1239Residua
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![本人刚学stata,大家多多指教.这是用stata的做的一个输出结果,.regress y x1 x2 x3Source | SS df MS Number of obs = 15-------------+------------------------------ F( 3,11) = 2.39Model | .314572294 3 .104857431 Prob > F = 0.1239Residua](/uploads/image/z/8557824-48-4.jpg?t=%E6%9C%AC%E4%BA%BA%E5%88%9A%E5%AD%A6stata%2C%E5%A4%A7%E5%AE%B6%E5%A4%9A%E5%A4%9A%E6%8C%87%E6%95%99.%E8%BF%99%E6%98%AF%E7%94%A8stata%E7%9A%84%E5%81%9A%E7%9A%84%E4%B8%80%E4%B8%AA%E8%BE%93%E5%87%BA%E7%BB%93%E6%9E%9C%2C.regress+y+x1+x2+x3Source+%7C+SS+df+MS+Number+of+obs+%3D+15-------------%2B------------------------------+F%28+3%2C11%29+%3D+2.39Model+%7C+.314572294+3+.104857431+Prob+%3E+F+%3D+0.1239Residua)
本人刚学stata,大家多多指教.这是用stata的做的一个输出结果,.regress y x1 x2 x3Source | SS df MS Number of obs = 15-------------+------------------------------ F( 3,11) = 2.39Model | .314572294 3 .104857431 Prob > F = 0.1239Residua
本人刚学stata,大家多多指教.这是用stata的做的一个输出结果,
.regress y x1 x2 x3
Source | SS df MS Number of obs = 15
-------------+------------------------------ F( 3,11) = 2.39
Model | .314572294 3 .104857431 Prob > F = 0.1239
Residual | .481761032 11 .043796457 R-squared = 0.3950
-------------+------------------------------ Adj R-squared = 0.2300
Total | .796333326 14 .056880952 Root MSE = .20928
------------------------------------------------------------------------------
y | Coef.Std.Err.t P>|t| [95% Conf.Interval]
-------------+----------------------------------------------------------------
x1 | 9.57e-06 .0000596 0.16 0.875 -.0001217 .0001408
x2 | .0000724 .0001414 0.51 0.619 -.0002389 .0003837
x3 | .0006278 .0002514 2.50 0.030 .0000745 .0011811
_cons | 1.132732 .4274603 2.65 0.023 .1918985 2.073566
------------------------------------------------------------------------------
.
其中的_cons,coef.这个用的是什么统计方法,方程成不成立,回归效果如何.
本人刚学stata,大家多多指教.这是用stata的做的一个输出结果,.regress y x1 x2 x3Source | SS df MS Number of obs = 15-------------+------------------------------ F( 3,11) = 2.39Model | .314572294 3 .104857431 Prob > F = 0.1239Residua
_cons是常数的意思,就是回归方程中1的截距项.coef.是估计出的各解释变量的系数,就是y=a+b1*x1+b2*x2+b3*x3中的b1=9.57e-06,b2=0.0000724,b3=0.0006278.用的统计方法就是最普通的最小二乘法(OLS),看样子R方0.3950挺大的,才15个样本有这个R方挺好,但三个解释变量里只有x3一个变量在5%显著性水平上显著,其他两个变量都不显著,有待改进.