你这问的应该是联合显著性吧?一般回归结果中会提供F统计量及P值,这就是联合显著性结果。如
- sysuse auto,clear
- (1978 Automobile Data)
- reg price mpg foreign
- Source | SS df MS Number of obs = 74
- -------------+---------------------------------- F(2, 71) = 14.07
- Model | 180261702 2 90130850.8 Prob > F = 0.0000
- Residual | 454803695 71 6405685.84 R-squared = 0.2838
- -------------+---------------------------------- Adj R-squared = 0.2637
- Total | 635065396 73 8699525.97 Root MSE = 2530.9
- ------------------------------------------------------------------------------
- price | Coef. Std. Err. t P>|t| [95% Conf. Interval]
- -------------+----------------------------------------------------------------
- mpg | -294.196 55.692 -5.28 0.000 -405.242 -183.149
- foreign | 1767.292 700.158 2.52 0.014 371.217 3163.368
- _cons | 11905.415 1158.634 10.28 0.000 9595.164 14215.667
- ------------------------------------------------------------------------------
复制代码
你也可以使用test做联合显著性检验:
- test mpg foreign
- ( 1) mpg = 0
- ( 2) foreign = 0
- F( 2, 71) = 14.07
- Prob > F = 0.0000
复制代码
结果与回归结果中的F检验结果一致。