Suppose the probability π(x) of failing a course as a function of time x spent per week studying the course is well-fitted by a logistic regression equation with log(π(x)/1−π(x))=4−2.1x (log here is the natural logarithm) For this prediction model, what is the probability of failing the course if a student spends only for 2 hours per week studying the course? A. 0.55 B. 0.45 C. -0.2 D. 0.2 Using this model, would you recommend your friend to take the course if he has only 6 hours to spend per week on the course? A. Yes, I recommend my friend because it is very unlikely to fail the course. B. No, I do not recommend my friend because it is very unlikely to pass the course. C. Hard to predict because there is a 50-50 chance to fail the course. D. Yes, I recommend my friend because it is very likely to fail the course.
Suppose the probability π(x) of failing a course as a
spent per week studying the course is well-fitted by a logistic regression equation with
log(π(x)/1−π(x))=4−2.1x
(log here is the natural logarithm)
For this prediction model, what is the probability of failing the course if a student spends only for 2 hours per week studying the course?
A. 0.55
B. 0.45
C. -0.2
D. 0.2
Using this model, would you recommend your friend to take the course if he has only 6 hours to spend per week on the course?
A. Yes, I recommend my friend because it is very unlikely to fail the course.
B. No, I do not recommend my friend because it is very unlikely to pass the course.
C. Hard to predict because there is a 50-50 chance to fail the course.
D. Yes, I recommend my friend because it is very likely to fail the course.
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