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Chapter 12: Q. 6 (page 760)
6. Beer and BAC Refer to Exercise 4. Computer output from the least-squares regression analysis on the beer and blood alcohol data is shown below.
The model for regression inference has three parameters:Explain what each parameter represents in context. Then provide an estimate for each.
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A large machine is filled with thousands of small
pieces of candy, of which are orange. When money
is deposited, the machine dispenses randomly selected
pieces of candy. The machine will be recalibrated if a
group of candies contains fewer than that are
orange. What is the approximate probability that this will
happen?
role="math" localid="1650519113387"
role="math" localid="1650519757907"
Below are boxplots of SAT Critical Reading and Math scores for a randomly selected group of female juniors at a highly competitive suburban school.
Which of the following cannot be justified by the plots shown above?
(a) The maximum Critical Reading score is higher than the maximum Math score.
(b) Critical Reading scores are skewed to the right, whereas Math scores are somewhat skewed to the left.
(c) The median Critical Reading score for females is slightly higher than the median Math score.
(d) There appear to be no outliers in the SAT score distributions.
(e) The mean Critical Reading score and the mean Math score for females are about the same.
In Chapter , we examined data on the body weights and backpack weights of a group of eight randomly selected ninth-grade students at the Webb Schools. Some Minitab output from least-squares regression analysis for these data is shown.
2. With such a small sample size, it is difficult to check several of the conditions for regression inference. Assume that the conditions are met. Construct and interpret a confidence interval for the slope of the population regression line.
Park rangers are interested in estimating the weight
of the bears that inhabit their state. The rangers have data
on weight (in pounds) and neck girth (distance around
the neck in inches) for 10 randomly selected bears. Some
regression output for these data is shown below.
A bear was recently captured whose neck girth was and whose weight was . If this bear were added to the data set given above, what would be the effect on the value of?
(a) It would decrease the value of because the added
point is an outlier.
(b) It would increase the value of because any point
added to the data would increase the percent of variation
in bear weight that can be explained by the least-squares
regression line.
(c) It would increase the value of because the added
point lies on the least-squares regression line and is far from
the point
(d) It would have no effect on the value of because the
added point lies far from the point
(e) It would have no effect on the value of because it lies
on the least-squares regression line.
The table below provides data on the political affiliation and opinion about the death penalty of randomly selected voters from a congressional district.
Which of the following does not support the conclusion that being a Republican and favoring the death penalty are not independent?
(a) (d)
(b) (e)
(c)
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