Regression Tree Assignment | Professional Writing Services
December 20th, 2019
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 awards a Dean’s Scholarship to admitted applicants who it predicts will earn a GPA of 3.85 or higher in the MBA program. An MBA applicant has an undergraduate GPA of 3.91. Based on this regression tree, which of the following GMAT scores is the lowest this applicant can earn to qualify for the Dean’s Scholarship?
- An MBA applicant has a GMAT score of 630 and an undergraduate GPA of 3.51. Based on this regression tree, which of the following is the best estimate of this applicant’s MBA GPA if they are admitted into the program?
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