When is a probit model preferred to a logit model?
A) Use probit when the independent variables are whole numbers
B) Use probit when the dependent variable ranges from -1 to 1.
C) Use probit in all cases since it gives slightly more accurate results than logit.
D) There is generally no clear reason to pick one over the other as models produce similar results.
Correct Answer:
Verified
Q8: In order to run a hypothesis test
Q9: Which of the following is the equation
Q10: In a probit model, the interpretation of
Q11: Which of the following is a characteristic
Q12: The cumulative distribution function
A) Tells us how
Q14: Which of the following is false?
A) Fitted
Q15: Which of the following is not a
Q16: Which of the following is a drawback
Q17: Write down the equation for a probit
Q18: Write down the equation for a logit
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