Please help!!!! Imagine that you are on the admissions board at the highly selec
ID: 3203973 • Letter: P
Question
Please help!!!!
Imagine that you are on the admissions board at the highly selective Ivy League University (ILU). One of your roles is to recommend students for admission to ILU. You are also responsible for identifying students who have the greatest potential to excel at ILU and granting total tuition-remission (i.e., “free-ride”) scholarships to those students. Both decisions are made on the basis of students’ University Aptitude Test (UAT) scores. The admissions board has decided that it will offer admission to students who can probably earn a first-year GPA at ILU of at least 3.00. “Free-ride” scholarships will be granted to students whose predicted first-year GPA is 3.80 or better.
You have four incoming freshmen to make scholarship decisions about.
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The correlation coefficient for the relationship between UAT and GPA is .68 ( p = .006). This correlation is ______________ (significant? non-significant? unknown?).
The regression equation for the prediction of 1st year GPA from UAT score is Y’ = 2.345 + .08 X. Using this information, answer the following questions. Round to two decimal places.
June's predicted 1st year GPA is _________________.
Marcos's predicted 1st year GPA is _________________ .
Reginald's predicted 1st year GPA is _______________ .
Sara's predicted 1st year GPA is _______________ .
Incoming Students UAT Score June 2 Marcos 18 Reginald 8 Sara19
Explanation / Answer
Since p-value related to correlaiton coeffcient is less than 0.05 so it is significant.
Answer: This correlation is significant.
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June's predicted 1st year GPA is Y’ = 2.345 + .08 *2 = 2.505
So requried predicted score is 2.51.
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Marcos's predicted 1st year GPA is Y’ = 2.345 + .08 *18 = 3.785
So requried predicted score is 3.79.
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Reginald's predicted 1st year GPA is Y’ = 2.345 + .08 *8 = 2.985
So requried predicted score is 2.99.
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Sara's predicted 1st year GPA is Y’ = 2.345 + .08 *19 = 3.865
So requried predicted score is 3.87.