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.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
icon
Concept explainers
Question

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.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

Blurred answer
Knowledge Booster
Points, Lines and Planes
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman