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You read that "the correlation between spending on schools (dollars per pupil) and median score on student achievement tests is r = 0.08." This means that


A) school districts that spend a lot have higher scores than low-spending districts, and this effect is quite strong.
B) school districts that spend a lot have lower scores than low-spending districts, and the effect is quite strong.
C) school districts that spend a lot have somewhat higher scores than low-spending districts, but the effect is weak.
D) school districts that spend a lot have somewhat lower scores than low-spending districts, but the effect is weak.

E) None of the above
F) B) and C)

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Consider the following data: Consider the following data:   The correlation coefficient r is A)  7.6. B)  0.0 C)  1.0. D)  -0.6. E)  -1.0. The correlation coefficient r is


A) 7.6.
B) 0.0
C) 1.0.
D) -0.6.
E) -1.0.

F) A) and B)
G) B) and D)

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Which of the following pairs of variables is most likely to show a positive correlation?


A) number of classes a senior has failed and number of job offers he or she receives
B) a car's maximum speed and its gas mileage (miles per gallon)
C) TV screen size (diagonal) in inches and its cost (in dollars)
D) time since removing a dish from the stove and the dish's temperature.

E) A) and B)
F) B) and C)

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A random sample of statistics students was selected. The heights (inches) and the weights (pounds) of the students were collected and are displayed in the figure below. A random sample of statistics students was selected. The heights (inches)  and the weights (pounds)  of the students were collected and are displayed in the figure below.   There is a student whose measurements were outliers in the data set. The height of this student was about A) 56. B) 65. C) 70. D) 73. E)  178. There is a student whose measurements were outliers in the data set. The height of this student was about


A) 56.
B) 65.
C) 70.
D) 73.
E) 178.

F) A) and E)
G) B) and E)

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An analyst gathers data on the number of hours of political debates watched per week and the sales of antacids. She expects that political debate watching will help explain antacid sales. In a scatterplot of her data:


A) hours of political debate watching should be on the horizontal axis.
B) antacid sales should be on the horizontal axis.
C) it makes no difference which is horizontal.
D) a scatterplot is not an appropriate type of graph for these data.

E) None of the above
F) A) and B)

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Which correlation indicates almost no straight-line relationship?


A) -0.84
B) 0.75
C) 1.5
D) 0.04
E) 0.99

F) C) and E)
G) B) and D)

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To display the relationship between per capita yearly liquor consumption and liver disease death rates per 100,000 people in each of 29 countries, a good choice of a graph would be a:


A) pie chart.
B) boxplot.
C) histogram.
D) line graph.
E) scatterplot.

F) C) and E)
G) D) and E)

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A nutrition study measured how many helpings of vegetables each of 125 grade school children were served each week during a school year and their body mass index (BMI) scores. Which variable would one put on the horizontal axis of a scatterplot of the data?


A) One would put the BMI score because it is the response variable.
B) One would put the BMI score because it is the explanatory variable.
C) One would put helpings of vegetables because it is the response variable.
D) One would put helpings of vegetables because it is the explanatory variable.
E) It makes no difference because there is no explanatory-response distinction in this study.

F) A) and E)
G) C) and D)

Correct Answer

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The correlation between two variables is of -0.18. One can conclude that:


A) an increase in one variable causes a small decrease in the other variable.
B) there is a strong, positive association between the two variables.
C) there is a strong, negative association between the two variables.
D) there is a positive association between the variables, but it is weak.
E) there is a negative association between the variables, but it is weak.

F) A) and D)
G) A) and E)

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The scout troop is selling brownies for $4 per plate (no sales tax.) If the explanatory variable was the number of plates of brownies a customer purchased and the response was the amount paid, what would be the correlation between the number of plates and amount paid?


A) The correlation cannot be determined from the information provided.
B) $4
C) 0.25
D) 1.0
E) 4.0

F) A) and D)
G) C) and E)

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Which of the following statements about correlation is false?


A) The value of correlation coefficient is heavily influenced by outliers.
B) The correlation coefficient can never be larger than 1.
C) The correlation coefficient measures how tightly the points in a scatterplot cluster about a straight line.
D) The correlation coefficient cannot be 0.

E) B) and C)
F) A) and B)

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A study found that the size of the police force and the number of churches in towns across the United States are positively associated. This means that:


A) towns with few churches tend to have a small police force.
B) towns with many churches tend to have a large police force.
C) towns with few churches tend to have a large police force.
D) towns with many churches tend to have a small police force.
E) Both "towns with few churches tend to have a small police force" and "towns with many churches tend to have a large police force" are correct.

F) None of the above
G) All of the above

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Which of the following are most likely to be positively correlated?


A) Carat weight of a diamond and its price
B) Number of courses failed and college grade point average
C) Amount of food eaten and hunger level
D) Internet connection speed and time to download a movie file

E) B) and D)
F) B) and C)

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An agricultural economist says that the correlation between corn prices and rainfall during the growing season is r = -0.7. This means that:


A) when rainfall is above average, corn prices also tend to be above average.
B) there is almost no relation between rainfall amount and corn prices.
C) when rainfall is above average, corn prices tend to be below average.
D) the economist is confused because correlation makes no sense in this situation.

E) All of the above
F) B) and D)

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You calculate the correlation between height and weight for a simple random sample of 50 students from your college. Another student does the same for a simple random sample of 200 students from the college. The other student should get


A) a correlation greater than 1.
B) a correlation less than -1.
C) a higher value for the correlation.
D) a lower value for the correlation.
E) about the same value for the correlation.

F) B) and E)
G) B) and D)

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A random sample of patients who attended a clinic was selected. The age of the patient (years) and the number of days since the last visit were collected and are displayed in the figure. A random sample of patients who attended a clinic was selected. The age of the patient (years)  and the number of days since the last visit were collected and are displayed in the figure.   A plausible value of the correlation coefficient for the data displayed is A)  -0.40. B)  -0.25. C)  0.00. D)  +0.75. E)  -0.90. A plausible value of the correlation coefficient for the data displayed is


A) -0.40.
B) -0.25.
C) 0.00.
D) +0.75.
E) -0.90.

F) A) and D)
G) A) and E)

Correct Answer

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A study is conducted to determine if there is a relationship between height (inches) and annual income (dollars) among executives at large companies in the United States. Which of the following statements about the descriptive statistics for the study data is not true?


A) The correlation is measured in inches per dollar.
B) The standard deviation of the incomes is measured in dollars.
C) The standard deviation of the heights is measured in inches.
D) The median income is measured in dollars.
E) Both "the standard deviation of the incomes is measured in dollars" and "the standard deviation of the heights is measured in inches" are correct.

F) B) and E)
G) C) and D)

Correct Answer

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A study of home heating costs collects data on the size of houses and the monthly cost to heat the houses with natural gas. Here are the data: A study of home heating costs collects data on the size of houses and the monthly cost to heat the houses with natural gas. Here are the data:   A friend tells you that the correlation for the data is r = 0.99984. You conclude from this number that A)  larger houses cost more to heat than smaller houses, and the relationship is almost perfectly straight. B)  smaller houses cost more to heat than larger houses, and the relationship is almost perfectly straight. C)  larger houses cost more to heat than smaller houses, but the relationship is not very strong. D)  smaller houses cost more to heat than larger houses, but the relationship is not very strong. E)  your friend made a mistake, because the value of r is impossible. A friend tells you that the correlation for the data is r = 0.99984. You conclude from this number that


A) larger houses cost more to heat than smaller houses, and the relationship is almost perfectly straight.
B) smaller houses cost more to heat than larger houses, and the relationship is almost perfectly straight.
C) larger houses cost more to heat than smaller houses, but the relationship is not very strong.
D) smaller houses cost more to heat than larger houses, but the relationship is not very strong.
E) your friend made a mistake, because the value of r is impossible.

F) A) and E)
G) B) and D)

Correct Answer

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How well does the number of beers a student drinks predict his or her blood alcohol content? Sixteen student volunteers at The Ohio State University drank a randomly assigned number of cans of beer. Thirty minutes later, a police officer measured their blood alcohol content (BAC) . A scatterplot of the data appears below. How well does the number of beers a student drinks predict his or her blood alcohol content? Sixteen student volunteers at The Ohio State University drank a randomly assigned number of cans of beer. Thirty minutes later, a police officer measured their blood alcohol content (BAC) . A scatterplot of the data appears below.   The scatterplot above shows A)  a moderately strong negative straight-line relationship between number of beers and BAC. B)  a weak negative straight-line relationship between number of beers and BAC. C)  almost no relationship between number of beers and BAC. D)  a weak positive straight-line relationship between number of beers and BAC. E)  a moderately strong positive straight-line relationship between number of beers and BAC. The scatterplot above shows


A) a moderately strong negative straight-line relationship between number of beers and BAC.
B) a weak negative straight-line relationship between number of beers and BAC.
C) almost no relationship between number of beers and BAC.
D) a weak positive straight-line relationship between number of beers and BAC.
E) a moderately strong positive straight-line relationship between number of beers and BAC.

F) A) and E)
G) C) and D)

Correct Answer

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A random sample of patients who attended a clinic was selected. The age of the patient (years) and the number of days since the last visit were collected and are displayed in the figure. A random sample of patients who attended a clinic was selected. The age of the patient (years)  and the number of days since the last visit were collected and are displayed in the figure.   Describe the association between  Age of Patient  and  Days Since Last Visit.  A)  There is a fairly strong, positive, straight-line association. B)  There is a fairly strong, negative, straight-line association. C)  There is a fairly weak, positive, straight-line association. D)  There is a fairly weak, negative, straight-line association. Describe the association between "Age of Patient" and "Days Since Last Visit."


A) There is a fairly strong, positive, straight-line association.
B) There is a fairly strong, negative, straight-line association.
C) There is a fairly weak, positive, straight-line association.
D) There is a fairly weak, negative, straight-line association.

E) None of the above
F) B) and C)

Correct Answer

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