对分类变量的 p 值的解释

如何解决对分类变量的 p 值的解释

glm(formula = seagulls$attack ~ seagulls$bird_sex,family = "binomial",data = seagulls)
Deviance Residuals: 
   Min      1Q  Median      3Q     Max  
-1.310  -1.218   1.050   1.138   1.138  
Coefficients:
                   Estimate Std. Error z value Pr(>|z|)
(Intercept)         0.09403    0.16403   0.573    0.566
seagulls$bird_sexM  0.21300    0.23243   0.916    0.359
(dispersion parameter for binomial family taken to be 1)
    Null deviance: 412.88  on 299  degrees of freedom
Residual deviance: 412.04  on 298  degrees of freedom
AIC: 416.04

如何解释截距的p值？这是否意味着 seagulls$bird_sexF 有这个 p 值，我们拒绝雌性海鸥有攻击影响的假设？