Can you account for the following in your target number of admitted students that will help determine what the cutoff should be...

• the data provided includestwo years'worth ofenrollmentdata
• not everyone that is admitted enrolls at the school.
• Note:Typically, about 80% of admitted students enroll at the school.As you can see from the table above, the Enrollment:Admission ratio ("E:A Ratio") ranged from 79-85% over the last 5 years (average ~82%). How would your proposed admission cutoff change if the yield was not 80%? For this question, you can use the following table to guide your analysis. I partially completed one row for you. With 80% typical yield and requirement of 100 students per year, the target number for admission is 250 [(2*100)/0.80]. The proposed cutoff should allow the admissions office to admit the top 250 students from this dataset. You determine this cutoff based on their predicted MBA GPA score when you apply your regression model to each student.

Yield E:A Ratio	Target # for Enrollment (100/yr for 2 years)	Target # for Admission (round up to nearest whole number)	Proposed Predicted MBA GPA Cutoff to meet Target # for Admission (value to 4 decimal points)
79%
80% (Typical)	200	250
81%
82%
83%
84%
85%