Compute the value of y^ when a student spends 36 hours reading. Give your answer precise to one decimal place. Avoid rounding until the last step. ?̂ = points Identify all of the true statements regarding the interpretation of y^ when x=36. The value of y^ is: A) the predicted number of students that read for 36 hours. B) an unreliable prediction of a language test score because the value of 36 hours is outside the scope of the model. C) the language test score that any student who reads for 36 hours will obtain.
Compute the value of y^ when a student spends 36 hours reading. Give your answer precise to one decimal place. Avoid rounding until the last step. ?̂ = points Identify all of the true statements regarding the interpretation of y^ when x=36. The value of y^ is: A) the predicted number of students that read for 36 hours. B) an unreliable prediction of a language test score because the value of 36 hours is outside the scope of the model. C) the language test score that any student who reads for 36 hours will obtain.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Compute the value of y^ when a student spends 36 hours reading. Give your answer precise to one decimal place. Avoid rounding until the last step.
?̂ = points
Identify all of the true statements regarding the interpretation of y^ when x=36. The value of y^ is:
A) the predicted number of students that read for 36 hours.
B) an unreliable prediction of a language test score because the value of 36 hours is outside the scope of the model.
C) the language test score that any student who reads for 36 hours will obtain.
D) the language test score that predicts the reading time to be 36 hours.
E) a predicted value of the language test score if a student reads for 36 hours.

Transcribed Image Text:Suppose Tatiyana is interested in the relationship
between language ability and time spent reading. She
120
randomly selects a sample of 30 students from the
100
local high school and collects their scores from a
80
language aptitude test. She surveys the sample asking
each student how many hours per month he or she
60
spends reading.
40-
Using the sample data, Tatiyana produces a
20
scatterplot with reading time on the horizontal axis
and language test scores on the vertical axis. She
X
5
10
15
20
25
develops a least squares regression equation where x
Reading time in hours
is the amount of time spent reading during the month and ŷ is the predicted value of the language test score.
ŷ = 3.251x + 31.237
Language test score in points
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