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Answer :
An MBA admissions officer wants to predict an applicant's GPA based on their GMAT score. This can be done using statistical techniques such as regression analysis to determine the equation that best fits the relationship between the variables.
In this question, the subject is mathematics. The MBA admissions officer wants to predict an applicant's GPA based on their GMAT score. This implies that there is a mathematical relationship between these two variables, and the goal is to create a predictive model.
To achieve this, the admissions officer can use statistical techniques such as regression analysis to determine the equation that best fits the relationship between GMAT scores and GPA. The equation can then be used to predict the GPA of future applicants based on their GMAT scores.
For example, the equation might be something like: GPA = 0.2 * GMAT + 2, where the GMAT score is multiplied by 0.2 and then added to 2 to get the predicted GPA.
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Complete question
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?
3.01
3.54
3.92
None of the above undergraduate GPAs would allow them to qualify for a Graduate Assistantship.
There is insufficient information to determine the minimum allowable undergraduate GPA.
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