nitial BAC was zero. The number (between 1 and 9) of 12 ounce beers to be drunk was assigned to each of the subjects by drawing tickets from a bowl. Thirty minutes after consuming their final beer, students ad their BAC measured by a police officer of the OSU police department. The officer also administered road sobriety test before and after the alcohol consumption. This involved performing four simple asks, graded on a scale of 1 to 10 (ten being a perfect rating), demonstrating coordination: balancing on one foot, touching the tip of one's nose with a forefinger, placing one's head back with one's eyes closed, nd walking heel to toe. The police officer was not aware of how much alcohol each subject had consumed. A simple linear regression was conducted to predict BAC and the regression equation and ther- quared are shown in the graph below. Use the results to answer the following questions. BAC vs Number of Beers 0.2 0.18 y = 0.018x- 0.0127 R2 = 0.7998 0.16 0.14 0.12 0.1 0.08 0.06 0.04 0.02 10 BAC
nitial BAC was zero. The number (between 1 and 9) of 12 ounce beers to be drunk was assigned to each of the subjects by drawing tickets from a bowl. Thirty minutes after consuming their final beer, students ad their BAC measured by a police officer of the OSU police department. The officer also administered road sobriety test before and after the alcohol consumption. This involved performing four simple asks, graded on a scale of 1 to 10 (ten being a perfect rating), demonstrating coordination: balancing on one foot, touching the tip of one's nose with a forefinger, placing one's head back with one's eyes closed, nd walking heel to toe. The police officer was not aware of how much alcohol each subject had consumed. A simple linear regression was conducted to predict BAC and the regression equation and ther- quared are shown in the graph below. Use the results to answer the following questions. BAC vs Number of Beers 0.2 0.18 y = 0.018x- 0.0127 R2 = 0.7998 0.16 0.14 0.12 0.1 0.08 0.06 0.04 0.02 10 BAC
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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Transcribed Image Text:What is the slope of the regression line?
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Transcribed Image Text:BAC and Beer
How much alcohol can one consume before one's Blood Alcohol Content (BAC) is above the legal limit?
An undergraduate statistics project was conducted at The Ohio State University in Columbus, Ohio that
explored the relationship between BAC and other factors such as amount of alcohol consumed, gender,
weight, and age.
The experiment took place in February of 1986 at a student dormitory. Sixteen students volunteered to
be the subjects in the experiment. Each student blew into a breathalyzer to indicate that his or her
initial BAC was zero. The number (between 1 and 9) of 12 ounce beers to be drunk was assigned to each
of the subjects by drawing tickets from a bowl. Thirty minutes after consuming their final beer, students
had their BAC measured by a police officer of the OSU police department. The officer also administered
a road sobriety test before and after the alcohol consumption. This involved performing four simple
tasks, graded on a scale of 1 to 10 (ten being a perfect rating), demonstrating coordination: balancing on
one foot, touching the tip of one's nose with a forefinger, placing one's head back with one's eyes closed,
and walking heel to toe. The police officer was not aware of how much alcohol each subject had
consumed.
A simple linear regression was conducted to predict BAC and the regression equation and the r-
squared are shown in the graph below. Use the results to answer the following questions.
BAC vs Number of Beers
0.2
0.18
y = 0.018x- 0.0127
R² = 0.7998
0.16
0.14
0.12
0.1
0.08
0.06
0.04
0.02
8
10
Вeers
ВАC
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