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=footlengthand y=heightwere 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:

Is there convincing evidence that height increases as footlength increases? to answer this question, test the hypothesis

a.H0:β1=0H0:β1=0versusHα:β1>0.Hα:β1>0

b.H0:β1=0H0:β1=0versusHα:β1<Hα:β1&lt;0

cH0:β1=0H0:β1=0versusHα:β10.Hα:β10

dH0:β1&gt;0H0:β1>0versusHα:β1=0.Hα:β1=0

e.H0:β1=0H0:β1=0versusHα:β1&gt;1.Hα:β1>1

Short Answer

Expert verified

The correct option is option (a)

H0:β1=0H0:β1=0versusHα:β1>0

Step by step solution

01

Given Information

Given in the question that

we have to determine the correct option.

02

Explanation

The slope is positive (y grows as x increases), according to the claim.

The null hypothesis statement, also known as the alternative hypothesis statement, asserts that the slope is zero. The alternative hypothesis statement is the polar opposite of the null hypothesis if the mention claim is the null hypothesis.

therefore the correct option is option (a)

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Most popular questions from this chapter

Predicting high temperatures Using the daily high and low temperature readings at Chicago’s O’Hare International Airport for an entire year, a meteorologist made a scatterplot relating y=high temperature to x=low temperature, both in degrees Fahrenheit. After verifying that the conditions for the regression model were met, the meteorologist calculated the equation of the population regression line to be μy=16.6+1.02xwith σ=6.64°F. a. According to the population regression line, what is the average high temperature on days when the low temperature is 40°F? b. About what percent of days with a low temperature of 40°F have a high temperature greater than 70°F? c. If the meteorologist used a random sample of 10 days to calculate the regression line instead of using all the days in the year, would the slope of the sample regression line be exactly 1.02? Explain your answer.

Do hummingbirds prefer store-bought food made from concentrate or a simple mixture of sugar and water? To find out, a researcher obtains 10identical hummingbird feeders and fills 5, chosen at random, with store-bought food from concentrate and the other 5 with a mixture of sugar and water. The feeders are then randomly assigned to 10possible hanging locations in the researcher’s yard. Which inference procedure should you use to test whether hummingbirds show a preference for store-bought food based on the amount consumed?

a. A one-sample z-test for a proportion

b. A two-sample z-test for a difference in proportions

c. A chi-square test for independence

d. A two-sample t-test

e. A paired t-test

Prey attracts predators . Here is computer output from the least-squares regression analysis of the perch data

a. What is the estimate for β0? Interpret this value.

b. What is the estimate for β1? Interpret this value.

c. What is the estimate for σ? Interpret this value.

d. Give the standard error of the slope SEb1. Interpret this value.

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:

T12.7 Which of the following is the 95% confidence interval for the slope β1 of the population regression line?
a. 7,897,179±3,023,782
b. 7,897,179±2.000(3,023,782)
c. 4,139,198±1,698,371
d. 4,139,198±1.960(1,698,371)
e. 4,139,198±2.000(1,698,371)

T12.12 Foresters are interested in predicting the amount of usable lumber they can harvest from various tree species. They collect data on the diameter at breast height (DBH) in inches and the yield in board feet of a random sample of 20 Ponderosa pine trees that have been harvested. (Note that a board foot is defined as a piece of lumber 12 inches by 12 inches by 1 inch.) Here is a scatterplot of the data.

a. Here is some computer output and a residual plot from a least-squares regression on these data. Explain why a linear model may not be appropriate in this case.

The foresters are considering two possible transformations of the original data: (1) cubing the diameter values or (2) taking the natural logarithm of the yield measurements. After transforming the data, a least-squares regression analysis is performed. Here is some computer output and a residual plot for each of the two possible regression models:

b. Use both models to predict the amount of usable lumber from a Ponderosa pine with diameter 30 inches.
c. Which of the predictions in part (b) seems more reliable? Give appropriate evidence to support your choice.

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