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.
Chapter4: Linear Functions
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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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