ane the es seterm 45 Aprofessor decides to run an experiment to measure the effect of time pressare on final exam scores. He gives cach of the 400 students in his course the same final exam, but some students have 90 minutes to com- plete the exam, while others have 120 minutes, Each student is randomly assigned one of the examination times, based on the lip of a coin. Let Y, denote the number of points scored on the exam by the student (0 Ys 100), let X, denote the amount of time that the student has to complete the exam (X Y-A+Bx+ u 90 or 120), and consider the regression model a Explain what the term u, represents. Why will different students have different values of u,? b. Explain why E(u] X) G Are the other assumptions in Key Concept 4.3 satisfied? Explain. d. The estimated regression is Y,-49+0.24 X - 0 for this regression model. i. Compute the estimated regression's prediction for the average score of students given 90 minutes to complete the exam. Repeat. for 120 minutes and 150 minutes. ii. Compute the estimated gain in score for a student who is given an additional 10 minutes on the exam.

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Part A, B, D

ane the es
seterm
45 Aprofessor decides to run an experiment to measure the effect of time
pressare on final exam scores. He gives cach of the 400 students in his
course the same final exam, but some students have 90 minutes to com-
plete the exam, while others have 120 minutes, Each student is randomly
assigned one of the examination times, based on the lip of a coin. Let
Y, denote the number of points scored on the exam by the student
(0 Ys 100), let X, denote the amount of time that the student has to
complete the exam (X
Y-A+Bx+ u
90 or 120), and consider the regression model
a Explain what the term u, represents. Why will different students have
different values of u,?
b. Explain why E(u] X)
G Are the other assumptions in Key Concept 4.3 satisfied? Explain.
d. The estimated regression is Y,-49+0.24 X
- 0 for this regression model.
i. Compute the estimated regression's prediction for the average
score of students given 90 minutes to complete the exam. Repeat.
for 120 minutes and 150 minutes.
ii. Compute the estimated gain in score for a student who is given an
additional 10 minutes on the exam.
Transcribed Image Text:ane the es seterm 45 Aprofessor decides to run an experiment to measure the effect of time pressare on final exam scores. He gives cach of the 400 students in his course the same final exam, but some students have 90 minutes to com- plete the exam, while others have 120 minutes, Each student is randomly assigned one of the examination times, based on the lip of a coin. Let Y, denote the number of points scored on the exam by the student (0 Ys 100), let X, denote the amount of time that the student has to complete the exam (X Y-A+Bx+ u 90 or 120), and consider the regression model a Explain what the term u, represents. Why will different students have different values of u,? b. Explain why E(u] X) G Are the other assumptions in Key Concept 4.3 satisfied? Explain. d. The estimated regression is Y,-49+0.24 X - 0 for this regression model. i. Compute the estimated regression's prediction for the average score of students given 90 minutes to complete the exam. Repeat. for 120 minutes and 150 minutes. ii. Compute the estimated gain in score for a student who is given an additional 10 minutes on the exam.
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