Chapter 12: Q.26 (page 764)
A confidence interval for the population slope is
(a) .
(b) .
(c) .
(d) .
(e) .
Short Answer
The slope of the true regression line is . Therefore, option (b) is the correct option.
Chapter 12: Q.26 (page 764)
A confidence interval for the population slope is
(a) .
(b) .
(c) .
(d) .
(e) .
The slope of the true regression line is . Therefore, option (b) is the correct option.
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Get started for freeFollowing the debut of the new SAT Writing test in March , Dr. Les Perelman from the Massachusetts Institute of Technology collected data from a set of sample essays provided by the College Board. A least-squares regression analysis was performed on these data. The two graphs below display the results of that analysis. Explain why the conditions for performing inference are not met in this setting.
Prey attracts predators Here is one way in which nature regulates the size of animal populations: high population density attracts predators, which remove a higher proportion of the population than when the density of the prey is low. One study looked at kelp perch and their common predator, the kelp bass. The researcher set up four large circular pens on sandy ocean bottoms off the coast of southern California. He chose young perch at random from a large group and placed 10,20,40 and60 perch in the four pens. Then he dropped the nets protecting the pens, allowing the bass to swarm in, and counted the perch left after two hours. Here are data on the proportions of perch eaten in four repetitions of this setup .
The explanatory variable is the number of perch (the prey) in a confined area. The response variable is the proportion of perch killed by bass (the predator) in two hours when the bass are allowed access to the perch. A scatterplot of the data shows a linear relationship.
We used Minitab software to carry out a least-squares regression analysis for these data. A residual plot and a histogram of the residuals are shown below. Check whether the conditions for performing inference about the regression model are met.
A study of road rage asked random samples of men and women about their behavior while driving. Based on their answers, each respondent was assigned a road rage score on a scale of to . The respondents were chosen by random digit dialing of telephone numbers. Are the conditions for two-sample t inference satisfied?
(a) Maybe. The data came from independent random samples, but we need to examine the data to check for Normality.
(b) No. Road rage scores in a range between and can’t be Normal.
(c) No. A paired t test should be used in this case.
(d) Yes. The large sample sizes guarantee that the corresponding population distributions will be Normal.
(e) Yes. We have two independent random samples and large sample sizes, and the condition is met.
Which of the following sampling plans for estimating the proportion of all adults in a medium-sized town who favor a tax increase to support the local school system does not suffer from undercoverage bias?
(a) A random sample of names from the local phone book
(b) A random sample of parents whose children attend one of the local schools
(c) A sample consisting of people from the city who take an online survey about the issue
(d) A random sample of homeowners in the town
(e) A random sample of people from an alphabetical list of all adults who live in the town
Brawn versus brain How is the weight of an animal's brain related to the weight of its body?
Researchers collected data on the brain weight (in grams) and body weight (in kilograms) for species of mammals. The figure below is a scatterplot of the logarithm of brain weight against the logarithm of body weight for all species. The least-squares regression line for the transformed data is
Based on footprints and some other sketchy evidence, some people think that a large apelike animal, called Sasquatch or Bigfoot, lives in the Pacific Northwest. His weight is estimated to be about pounds, or kilograms. How big is Bigfoot’s brain? Show your method clearly
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