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An MBA Admissions Officer Wishes to Predict an MBA Applicant's

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An MBA admissions officer wishes to predict an MBA applicant's grade point average (GPA) for the MBA program on the basis of the applicant's score on the Graduate Management Admission Test (GMAT) and their undergraduate GPA (UGPA) . The admissions officer used a random sample of previously admitted applicants to build a regression tree that can be used to predict the MBA GPAs of future MBA students. Below is the final regression tree. An MBA admissions officer wishes to predict an MBA applicant's grade point average (GPA)  for the MBA program on the basis of the applicant's score on the Graduate Management Admission Test (GMAT)  and their undergraduate GPA (UGPA) . The admissions officer used a random sample of previously admitted applicants to build a regression tree that can be used to predict the MBA GPAs of future MBA students. Below is the final regression tree.   The school requires a predicted MBA GPA of at least 3.50 for an admitted applicant to be considered for a Graduate Assistantship. An MBA applicant has a GMAT score of 620. Based on this regression tree, which of the following undergraduate GPAs is the lowest this applicant can earn to be considered for a Graduate Assistantship? A)  3.01 B)  3.54 C)  3.92 D)  None of the above undergraduate GPAs would allow them to qualify for a Graduate Assistantship. E)  There is insufficient information to determine the minimum allowable undergraduate GPA. The school requires a predicted MBA GPA of at least 3.50 for an admitted applicant to be considered for a Graduate Assistantship. An MBA applicant has a GMAT score of 620. Based on this regression tree, which of the following undergraduate GPAs is the lowest this applicant can earn to be considered for a Graduate Assistantship?


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