NA as a coefficient in a regression indicates that the variable in question is linearly related to the other variables. In your case, this means that Q3=a×Q1+b×Q2+c for some a,b,c . If this is the case, then there's no unique solution to the regression without dropping one of the variables. Adding Q4 is only going to make matters worse.
R 逻辑回归 参数中 有NA
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