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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:

T12.6 The P -value for the test in Exercise T12.5 is 0.0087. Which of the following is a correct interpretation of this result?
a. The probability there is no linear relationship between average number of putts per hole and total winnings for these 69 players is 0.0087.
b. The probability there is no linear relationship between average number of putts per hole and total winnings for all players on the PGA Tour鈥檚 world money list is 0.0087.
c. If there is no linear relationship between average number of putts per hole and total winnings for the players in the sample, the probability of getting a random sample of 69 players that yields a least-squares regression line with a slope of 鈭4,139,198 or less is 0.0087.
d. If there is no linear relationship between average number of putts per hole and total winnings for the players on the PGA Tour鈥檚 world money list, the probability of getting a random sample of 69 players that yields a least-squares regression line with a slope of 鈭4,139,198 or less is 0.0087.
e. The probability of making a Type I error is 0.0087.

Which of the following is a categorical variable?

a. The weight of an automobile

b. The time required to complete the Olympic marathon

c. The fuel efficiency (in miles per gallon) of a hybrid car

d. The brand of shampoo purchased by shoppers in a grocery store

e. The closing price of a particular stock on the New York Stock Exchange

R12.5 Light intensity In a physics class, the intensity of a 100-watt light bulb was measured by a sensor at various distances from the light source. Here is a scatterplot of the data. Note that a candela is a unit of luminous intensity in the International System of Units.

Physics textbooks suggest that the relationship between light intensity y and distance x should follow an 鈥渋nverse square law,鈥 that is, a power law model of the form y=ax-2=a1x2. We transformed the distance measurements by squaring them and then taking their reciprocals. Here is some computer output and a residual plot from a least-squares regression analysis of the transformed data. Note that the horizontal axis on the residual plot displays predicted light intensity.

a. Did this transformation achieve linearity? Give appropriate evidence to justify your answer.
b. What is the equation of the least-squares regression line? Define any variables you use.
c. Predict the intensity of a 100-watt bulb at a distance of 2.1 meters.

An experimenter wishes to test if one of two types of fish food (a standard fish food and a new product) is better for producing fish of equal weight after a two-month feeding program. The experimenter has two identical fish tanks (1 and 2) and is considering how to assign 40 fish, each of which has a numbered tag, to the tanks. The best way to do this would be to

a. put all the odd-numbered fish in Tank 1 and the even-numbered fish in Tank 2. Give the standard food to Tank 1 and the new product to Tank 2.

b. obtain pairs of fish whose weights are roughly equal at the start of the experiment and randomly assign one of the pair to Tank 1 and the other to Tank 2. Give the standard food to Tank 1 and the new product to Tank 2.

c. proceed as in option (b), but put the heavier of each pair into Tank 2. Give the standard food to Tank 1 and the new product to Tank 2.

d. assign the fish completely at random to the two tanks using a coin flip: heads means Tank 1 and tails means Tank 2. Give the standard food to Tank 1 and the new product to Tank 2.

e. divide the 40 fish into two groups, with the 20 heaviest fish in one group. Randomly choose which tank to assign the heaviest fish and assign the lightest fish to the other tank. Give the standard food to Tank 1 and the new product to Tank 2.

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鈥檛 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.

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