Let grad be a dummy variable for whether a student-athlete at a large university graduates in five years. Let hsGPA and SAT be high school grade point average and SÁT score, respectively. Let study be the number of hours spent per week in an organized study hall. Suppose that, using data on 420 student athletes, the following logit model is obtained:

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Let grad be a dummy variable for whether a student-athlete at a large university
graduates in five years. Let hsGPA and SAT be high school grade point
average and SAT score, respectively. Let study be the number of hours spent
per week in an organized study hall. Suppose that, using data on 420 student
athletes, the following logit model is obtained:
grad = -1.17 + 0.24hsGPA + 0.00058SAT + 0.0073study
Holding hsGPA fixed at 3.0 and SAT fixed at 1200, compute the estimated
difference in the graduation probability for someone who spent 10 hours per
week in study hall and someone who spent 5 hours per week.
Transcribed Image Text:Let grad be a dummy variable for whether a student-athlete at a large university graduates in five years. Let hsGPA and SAT be high school grade point average and SAT score, respectively. Let study be the number of hours spent per week in an organized study hall. Suppose that, using data on 420 student athletes, the following logit model is obtained: grad = -1.17 + 0.24hsGPA + 0.00058SAT + 0.0073study Holding hsGPA fixed at 3.0 and SAT fixed at 1200, compute the estimated difference in the graduation probability for someone who spent 10 hours per week in study hall and someone who spent 5 hours per week.
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