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The relationship between the number of beers consumed and the blood alcohol content was studied in 16 male college students by using the least squares regression. The following regression equation was obtained from the study: y ̂= -0.0127+0.0180x The above equation implies that: A. each beer consumed increases blood alcohol by 1.27%. B. on the average, it takes 1.8 beers to increase blood alcohol content by 1%. C. Each beer consumed increases blood alcohol by an average amount of 1.8%. D. Each beer consumed increases blood alcohol by exactly 0.018 units.

The relationship between the number of beers consumed and the blood alcohol content was studied in 16 male college students by using the least squares regression. The following regression equation was obtained from the study: y ̂= -0.0127+0.0180x The above equation implies that: A. each beer consumed increases blood alcohol by 1.27%. B. on the average, it takes 1.8 beers to increase blood alcohol content by 1%. C. Each beer consumed increases blood alcohol by an average amount of 1.8%. D. Each beer consumed increases blood alcohol by exactly 0.018 units.

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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The relationship between the number of beers consumed and the blood alcohol content was studied in 16 male college students by using the least squares regression. The following regression equation was obtained from the study: y ̂= -0.0127+0.0180x The above equation implies that:
A. each beer consumed increases blood alcohol by 1.27%.
B. on the average, it takes 1.8 beers to increase blood alcohol content by 1%.
C. Each beer consumed increases blood alcohol by an average amount of 1.8%.
D. Each beer consumed increases blood alcohol by exactly 0.018 units.

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