Which of these is an advantage of probits over linear probability models?

Which of these is an advantage of probits over linear probability models?



A. The coefficients are easier to interpret.
B. You can only get predictions between 0 and 1.
C. They give you causal evidence, not just associations.
D. None of the above.


Answer: B. You can only get predictions between 0 and 1.


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