In PROC HPLOGISTIC, a data scientist specifies LINK=PROBIT in the MODEL statement instead of the default LINK=LOGIT. What change does this make to the model?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — a is correct because the probit link uses the inverse cumulative standard normal distribution (Phi^-1) as the link function, modeling the probability as Phi(Xbeta) rather than the logistic sigmoid 1/(1+exp(-Xbeta)). Both produce probabilities in [0,1] and often give similar results in practice.
Full explanation below image
Full Explanation
A is correct because the probit link uses the inverse cumulative standard normal distribution (Phi^-1) as the link function, modeling the probability as Phi(Xbeta) rather than the logistic sigmoid 1/(1+exp(-Xbeta)). Both produce probabilities in [0,1] and often give similar results in practice. B is wrong because LINK= changes the link function, not the modeling algorithm. C is wrong because both probit and logit links produce probabilities in [0,1]. D is wrong because LINK= affects the link function applied to the mean response, not a raw transformation of the target.