本人只能回答其中的四个问题:
a)模型1与模型2的差别在于模型2考虑入了gender与department 的交互影响,即gender*depatment;
c)由summary(fit2)知gender与department的交互影响并不显著,原因在于gender:departmentC~F的
p-value都远远大于0.05;
d)由summary(fit1)知,gendermale的p-value远远大于0.05,即不显著,且由anova(fit1)知gender的
p-value也远远大于0.05,说明gender对y不显著,故应将gender从模型中去掉;
e)gender is not significant in the presence of department,but department is significant in the presence of gender;
f)只用department作为自变量即可.glm(y~department,family=binomial(link=probit))
希望对你有所帮助