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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.H0:1=0H0:1=0versusH:1>0.H:1>0

b.H0:1=0H0:1=0versusH:1<H:1&lt;0

cH0:1=0H0:1=0versusH:10.H:10

dH0:1&gt;0H0:1>0versusH:1=0.H:1=0

e.H0:1=0H0:1=0versusH:1&gt;1.H:1>1

Short Answer

Expert verified

The correct option is option (a)

H0:1=0H0:1=0versusH:1>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

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:

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

a. If the scatterplot of the sample data wasn鈥檛 perfectly linear.

b. If the distribution of earnings has an outlier.

c. If the distribution of earnings wasn鈥檛 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.

Pricey diamonds Here is a scatterplot showing the relationship between the
weight (in carats) and price (in dollars) of round, clear, internally flawless diamonds with excellent cuts:

a. Explain why a linear model is not appropriate for describing the relationship between price and weight of diamonds.
b. We used software to transform the data in hopes of achieving linearity. The output shows the results of two different transformations. Would an exponential model or a power model describe the relationship better? Justify your answer.

c. Use each model to predict the price for a diamond of this type that weighs 2 carats. Which prediction do you think will be better? Explain your reasoning.

Could mud wrestling be the cause of a rash contracted by University of Washington students? Two physicians at the university鈥檚 student health center wondered about this when one male and six female students complained of rashes after participating in a mud-wrestling event. Questionnaires were sent to a random sample of students who participated in the event. The results, by gender, are summarized in the following table.

Here is some computer output for the preceding table. The output includes the observed counts, the expected counts, and the chi-square statistic.

The cell that contributes most to the chi-square statistic is

a. men who developed a rash.

b. men who did not develop a rash.

c. women who developed a rash.

d. women who did not develop a rash.

e. both (a) and (d).

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)

Lamb鈥檚 quarters is a common weed that interferes with the growth of corn. An agriculture researcher planted corn at the same rate in 16small plots of ground and then weeded the plots by hand to allow a fixed number of lamb鈥檚 quarters plants to grow in each meter of cornrow. The decision on how many of these plants to leave in each plot was made at random. No other weeds were allowed to grow. Here are the yields of corn (bushels per acre) in each of the plots:


Here is some computer output from a least-squares regression analysis of these data. Do these data provide convincing evidence at the =0.05level that more lamb鈥檚 quarters reduce corn yield?


PredictorCoefSECoefTPConstant166.4832.72561.110.000Weedsper1.09870.57121.920.075meterS=7.97665R-Sq=20.9%R-Sq(adj)=15.3%

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