The relationship between number of regular caffeine content (y) was studied in 13 male stu squares regression. The following regression ŷ-0.0123 + The above equation implies that:

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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Question 1
The relationship between number of regular cups of coffee consumed (x) and blood
caffeine content (y) was studied in 13 male students enrolled in STA507 by using least
squares regression. The following regression equation was obtained from this study:
ŷ = -0.0123 + 0.0690x
The above equation implies that:
a) each regular cup of coffee consumed increases blood caffeine by 1.23%
b) on average it takes 6.9 regular cups of coffee to increase blood caffeine content
by 1%
c) each regular cup of coffee consumed increases blood caffeine by an average
of amount of 6.9%
d) each regular cup of coffee consumed decreases blood caffeine by exactly
0.0123
Transcribed Image Text:Question 1 The relationship between number of regular cups of coffee consumed (x) and blood caffeine content (y) was studied in 13 male students enrolled in STA507 by using least squares regression. The following regression equation was obtained from this study: ŷ = -0.0123 + 0.0690x The above equation implies that: a) each regular cup of coffee consumed increases blood caffeine by 1.23% b) on average it takes 6.9 regular cups of coffee to increase blood caffeine content by 1% c) each regular cup of coffee consumed increases blood caffeine by an average of amount of 6.9% d) each regular cup of coffee consumed decreases blood caffeine by exactly 0.0123
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