question archive QUESTION 8 ( 2 0 marks) In the past 20 years, society in general and the judicial system in particular have altered their opinions on the seriousness of drunken driving
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QUESTION
8
(
2
0
marks)
In the past 20 years, society in general and the judicial system in particular have altered
their opinions on the seriousness of drunken driving. In most jurisdictions of the United
States, driving an automobile with blood alcohol content (BAC) level in
ex
cess of 0.08
is a felony. [
0.08 BAC is legally impaired and it is illegal to drive at this level]
. Because
of a number of factors, it is difficult to
provide guidelines on when it is safe for someone
who has consumed alcohol to drive a car. In an experime
nt to examine the relationship
between blood alcohol level and the weight of a drinker, 50 men of varying weights were
each given three (3) beers to drink, and I hour later their blood alcohol content level was
measured. The data reading of the two variab
les are as follows:
Weight
(in lbs)
Blood Alcohol Level
Weight (in lbs)
Blood Alcohol Level
214
0.07
176
0.07
270
0.09
169
0.06
185
0.07
170
0.07
196
0.07
197
0.09
175
0.10
213
0.07
153
0.09
210
0.08
165
0.06
220
0.07
215
0.12
215
0.06
216
0.09
173
0.09
190
0.09
196
0.06
204
0.10
216
0.09
153
0.06
161
0.06
209
0.06
208
0.08
206
0.10
176
0.08
190
0.09
179
0.07
220
0.08
193
0.08
266
0.11
224
0.08
224
0.09
233
0.11
229
0.11
152
0.07
211
0.07
172
0.07
200
0.07
155
0.05
201
0.08
169
0.08
212
0.09
149
0.09
223
0.08
207
0.06
148
0.08
217
0.08
The following is the EXCEL printout of the regression analysis of the two variables
.
Regression Statistics
Multiple R
0.41773
R Square
0.17449
Adjusted
R Square
0.15730
Standard Error
0.01398
Observations
50
________________________________________________
________________________
STA 1600
Probability and Statistics
Page
6
of
6
ANOVA
df
SS
MS
F
Significance
F
Regression
1
0.00198
0.00198
10.146
0.00254
Residual
48
0.00937
0.00019
Total
49
0.01132
Coefficients
Standard
Error
t Stat
P
-
value
Lower
95%
Upper
95%
Intercept
0.03318
0.01402
2.3661
0.02206
0.00498
0.06137
Weight (in lbs)
0.00022
0.00007
3.1853
0.00254
0.00008
0.00036
Required:
Using the EXCEL output (assuming that the two variables are normally distributed) to
answer the following questions:
a)
Provide the linear
regression model equation that relates blood alcohol content
(BAC) and body weight (lbs)
.
(2
marks)
b)
Explain the strength of the
correlation
(expressed in percentage)
between blood
alcohol content and body weight?
(2 marks)
c)
Interpret the meaning of the slope of the linear model regression equation.
(2 marks)
d)
Interpret the meaning of R Square (the coefficient of determination) of this linear
model regression equation.
(2 marks)
e)
Estimat
e the blood alcohol content (BAC) level of a 250 pounds drinker after 1
-
hour of consuming 3 glasses of beer?
Based on your calculated value, is the 250
pounds drinker legally impaired? Explain.
(3
marks)
f)
Based on your estimation in part (
e
), construct a 95% confidence interval for the
average blood alcohol content (BAC) of the drinker after 1 hour of consuming 3
glasses of beer. Provide a statement for your answer.
(
5
marks)
g)
At the 0.05 level of significance, is there sufficient
evidence to indicate a linear
relationship between
blood alcohol content (BAC) level and weight of drinker?
1)
Provide the hypothesis statement
.
(2 marks)
2)
Based on p
-
value, is there evidence to indicate a linear
relationship
b
etween the two v
ariables? Provide a statement for your statistical
conclusion.

a) The Estimated linear regression equation, ?y^?? = 0.03318 + 0.00022(Xweight)
b) The strength of the correlation between blood alcohol content and body weight, r = 0.41773 = 41.8%
Which we can conclude that the Weight and BAC are positively correlated.
c) Slope, ?β1?? = 0.00022, An unit increase in Body weight, there is 0.00022 units increase in Blood alcohol content.
d) R2 = 0.17449, nearly 17.5% of variation in BAC is explained by Body weight.
e) ?y^?? = 0.08818
f) We can be 95% confident that the population mean of the body weight will fall within 0.00008 and 0.00036.
g)
1)
Ho : There is no significant linear relationship between blood alcohol content (BAC) level and weight of drinker.
Ha : There is significant linear relationship between blood alcohol content (BAC) level and weight of drinker.
2) Using p-value approach: The p-value is 0.00254 < 0.05, reject Ho.
Therefore, at the 0.05 level of significance, there is sufficient evidence to indicate a linear relationship between blood alcohol content (BAC) level and weight of drinker.
Step-by-step explanation
a) The Estimated linear regression equation, ?y^?? = 0.03318 + 0.00022(Xweight)
b) The strength of the correlation between blood alcohol content and body weight, r = 0.41773 = 41.8%
Which we can conclude that the Weight and BAC are positively correlated.
c) Slope, ?β1?? = 0.00022, An unit increase in Body weight, there is 0.00022 units increase in Blood alcohol content.
d) R2 = 0.17449, nearly 17.5% of variation in BAC is explained by Body weight.
e) ?y^?? = 0.03318 + 0.00022 * (250) = 0.08818
f) A 95% confidence interval for the average blood alcohol content (BAC) of the drinker after 1 hour of consuming 3 glasses of beer = (0.00008 , 0.00036)
We can be 95% confident that the population mean of the body weight will fall within 0.00008 and 0.00036.
g)
1)
Ho : There is no significant linear relationship between blood alcohol content (BAC) level and weight of drinker.
Ha : There is significant linear relationship between blood alcohol content (BAC) level and weight of drinker.
Level of significance = 0.05
2) t = 3.1853 ; p-value = 0.00254
Using p-value approach: The p-value is 0.00254 < 0.05, reject Ho.
Therefore, at the 0.05 level of significance, there is sufficient evidence to indicate a linear relationship between blood alcohol content (BAC) level and weight of drinker.

