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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=11.894-2.8311.136=8.677984

b+t'SEb=11.894+2.8311.136=115.110016

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Most popular questions from this chapter

Exercises T12.4鈥揟12.8 refer to the following setting. An old saying in golf is 鈥淵ou drive for show and you putt for dough.鈥 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鈥檚 world money list are examined. The average number of putts per hole (fewer is better) and the player鈥檚 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:

T12.7 Which of the following is the 95% confidence interval for the slope 尾1 of the population regression line?
a. 7,897,1793,023,782
b. 7,897,1792.000(3,023,782)
c. 4,139,1981,698,371
d. 4,139,1981.960(1,698,371)
e. 4,139,1982.000(1,698,371)

Sam has determined that the weights of unpeeled bananas from his local store have a mean of116grams with a standard deviation of 9grams. Assuming that the distribution of weight is approximately Normal, to the nearest gram, the heaviest 30%of these bananas weigh at least how much?

a.107g

b.121g

C.111g

d.125g

e.116g

A random sample of 900students at a very large university was asked which social networking site they used most often during a typical week. Their responses are shown Page Number: 828in the table

Assuming that gender and preferred networking site are independent, how many females do you expect to choose LinkedIn?

a.87.00

b.90.00

c.95.40

d.97.50

e.103.35

Does how long young children remain at the lunch table help predict how much they eat? Here are data on a random sample of 20toddlers observed over several months. 鈥淭ime鈥 is the average number of minutes a child spent at the table when lunch was served. 鈥淐alories鈥 is the average number of calories the child consumed during lunch, calculated from careful observation of what the child ate each day.


Here is some computer output from a least-squares regression analysis of these data. Do these data provide convincing evidence at the =0.01=0.01level of a linear relationship between time at the table and calories consumed in the population of toddlers?


PredictorCoefSECoefTPConstant560.6529.3719.090.000Time3.07710.84983.620.002S=23.3980R-Sq=42.1%R-Sq(adj)=38.9%

After a name-brand drug has been sold for several years, the Food and Drug Administration (FDA) will allow other companies to produce a generic equivalent. The FDA will permit the generic drug to be sold as long as there isn't convincing evidence that it is less effective than the name-brand drug. For a proposed generic drug intended to lower blood pressure, the following hypotheses will be us

where

G=true mean reduction in blood pressureusing the generic drug G=true mean reduction in blood pressureusing the name@brand drug

G=true mean reduction in blood pressure

using the generic drug

G=true mean reduction in blood pressure

using the name@brand drug

In the context of this situation, which of the following describes a Type I error?

a. The FDA finds convincing evidence that the generic drug is less effective, when in reality it is less effective.

b. The FDA finds convincing evidence that the generic drug is less effective, when in reality it is equally effective.

c. The FDA finds convincing evidence that the generic drug is equally effective, when in reality it is less effective.

d. The FDA fails to find convincing evidence that the generic drug is less effective, when in reality it is less effective.

e. The FDA fails to find convincing evidence that the generic drug is less effective, when in reality it is equally effective.

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