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Do beavers benefit beetles? Researchers laid out 23circular plots, each 4meters in diameter, at random in an area where beavers were cutting down cottonwood trees. In each plot, they counted the number of stumps from trees cut by beavers and the number of clusters of beetle larvae. Ecologists think that the new sprouts from stumps are more tender than other cottonwood growth so beetles prefer them. If so, more stumps should produce more beetle larvae

Here is computer output for regression analysis of these data. Construct and interpret a99% confidence interval for the slope of the population regression line. Assume that the conditions for performing inference are met.

role="math" localid="1654159204144" PredictorCoefSECoefTPConstant1.2862.8530.450.657Stumps11.8941.13610.470.000S=6.41939R-Sq=83.9%R-Sq(adj)=83.1%

Short Answer

Expert verified

We are 99%confident that the slope of the true regression line is between .

Step by step solution

01

Given Information

We need to construct and interpret a 99%confidence interval for the slope of the population regression line.

02

Simplify

Consider:

n=23b=11.894SEb=1.136

The degrees of freedom in sample size decreased by 2:

df=n-2==23-2=21

The critical t-value can be found in table B in the row of df=21and in the column of c=99%

t'=2.831

The boundaries of the confidence interval then become:

b-t'×SEb=11.894-2.831×1.136=8.677984

b+t'×SEb=11.894+2.831×1.136=115.110016

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Most popular questions from this chapter

A study of road rage asked random samples of 596men and 523women about their behavior while driving. Based on their answers, each respondent was assigned a road rage score on a scale of 0-20. The respondents were chosen by random-digit dialing of telephone numbers. Are the conditions for inference about a difference in means satisfied?

a. Maybe; the data came from independent random samples, but we should examine the data to check for Normality.

b. No; road rage scores on a scale of 0-20can’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 the10% condition is met.

Exercises T12.4–T12.8 refer to the following setting. An old saying in golf is “You drive for show and you putt for dough.” The point is that good putting is more important than long driving for shooting low scores and hence winning money. To see if this is the case, data from a random sample of 69 of the nearly 1000 players on the PGA Tour’s world money list are examined. The average number of putts per hole (fewer is better) and the player’s total winnings for the previous season are recorded and a least-squares regression line was fitted to the data. Assume the conditions for
inference about the slope are met. Here is computer output from the regression analysis:

T12.8 Which of the following would make the calculation in Exercise T12.7 invalid?

a. If the scatterplot of the sample data wasn’t perfectly linear.

b. If the distribution of earnings has an outlier.

c. If the distribution of earnings wasn’t approximately Normal.

d. If the earnings for golfers with small putting averages was much more variable than the earnings for golfers with large putting averages.

e. If the standard deviation of earnings is much larger than the standard deviation of putting average.

T12.3 Inference about the slope β1 of a least-squares regression line is based on which of
the following distributions?
a. The tdistribution with n1 degrees of freedom
b. The standard Normal distribution
c. The chi-square distribution with n1 degrees of freedom
d. The t distribution with n-2 degrees of freedom
e. The Normal distribution with mean μ and standard deviation σ.

Do taller students require fewer steps to walk a fixed distance? The scatterplot shows the relationship between x=height (in inches) and y=number of steps required to walk the length of a school hallway for a random sample of 36 students at a high school.

A least-squares regression analysis was performed on the data. Here is some computer output from the analysis

Long legs Do these data provide convincing evidence at the α=0.05level that taller students at this school require fewer steps to walk a fixed distance? Assume that the conditions for inference are met.

Multiple Choice Select the best answer for Exercises 23-28. Exercises 23-28 refer to the following setting. To see if students with longer feet tend to be taller, a random sample of 25students was selected from a large high school. For each student, x=foot length and y=height were recorded. We checked that the conditions for inference about the slope of the population regression line are met. Here is a portion of the computer output from a least-squares regression analysis using these data:

Which of the following is the equation of the least-squares regression line for predicting height from foot length?

a. height^=10.2204+0.4117(foot length) height^=10.2204+0.4117(foot length)

b.height^=0.4117+3.0867 (foot length) height^=0.4117+3.0867(foot length)

c. height^=91.9766+3.0867(foot length) height^=91.9766+3.0867(foot length)

d. height^=91.9766+6.47044 (foot length)height^=91.9766+6.47044(foot length)

e. height^=3.0867+6.47044(foot length)heiight^=3.0867+6.47044(foot length)

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