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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:

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:

MATLAB: An Introduction with Applications
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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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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