Question

1.When is logistic regression the appropriate model for modeling non-metric outcomes?

2.In what ways is logistic regression comparable to multiple regression? How does it differ?

3.Why are there two forms of logistic coefficients (original and exponentiated)?

Answer 1

Date: d)when is logistic regression the apprapreate model for modeling non-mebric outomes? 그 laqu tic renession-can be dppled- her-the-response-variable- s of categorica nature that is haye mani categories sych Fist Serond thrd or binary such ad pass fal ar ale Fsmale or prerence labsence et In what ways ts logisthic Regression cammnble to maltiple regression? How does it differ Following is way to compare Logistic Rediession taith muHple regresion A promised we take you through a set of steps you an use with same of your oiun da ick q bingry dependen yariable and a set of redidors 勾Compute a predich d probat ilty yalue fot every record in your sample using both muhiple tedyestion and togistic rearession biu hree randon stubsamplez of 20 records each fram do the total somple so that each subsample indudes the redicled muiple regression probability value and th predicted logishc rearession probabilsiy value for every reord o Display each subsomple of these records in table and a Do an evebal comparison of the probgbilig Ytlues in boh yap the tables and the griphs

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