A) If the correlation between blood alcohol level and reaction time is 0.73, then the correlation between reaction time and blood alcohol level is -0.73.
B) The correlation between the breed of a dog and its weight is 0.435.
C) The correlation between gender and age is -0.171.
D) The correlation between height and weight is 0.568 inches per pound.
E) The correlation between weight and length of foot is 0.488.
Correct Answer
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Multiple Choice
A) EPS is the best predictor of stock price.
B) The strongest correlation is between EPS and stock price.
C) There is a weak negative association between PE and EPS.
D) PE is the best predictor of stock price.
E) The weakest correlation is between PE and EPS.
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Multiple Choice
A) accurate predictions can be made for even if extrapolation is involved.
B) the correlation between and is near .
C) large values of are associated with large values of .
D) the scatterplot of vs also shows a linear pattern.
E) the residuals plot for regression of on shows a curved pattern.
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Multiple Choice
A) positive and weak.
B) negative and weak.
C) negative and strong.
D) positive and strong.
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Multiple Choice
A) -.235.
B) 0.
C) .180.
D) -.914.
E) .914.
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Multiple Choice
A) there is no linear association between the two variables.
B) re-expressing the data will guarantee a linear association between the two variables.
C) there is no association between the two variables.
D) we have done something wrong in our calculation of r.
E) none of these
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Multiple Choice
A) quadratic
B) exponential
C) linear
D) logarithmic
E) Power
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Multiple Choice
A) We have to explain the association in terms of the transformed variables.
B) We cannot use the standard regression models
C) It is not commonly used
D) It can be difficult
E) A and D
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Multiple Choice
A) The correlation between a car's length and its fuel efficiency is 0.71 miles per gallon.
B) There is a correlation of 0.63 between gender and political party.
C) There is a high correlation (1.09) between height of a corn stalk and its age in weeks.
D) The correlation between the amount of fertilizer used and the yield of beans is 0.42.
E) The correlation between a football player's weight and the position he plays is 0.54.
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Multiple Choice
A) The correlation between the height of a bean plant and the day is 0.78 in/day.
B) The correlation between the time it takes to get ready in the morning and gender is 0.78.
C) The correlation between your golf score and the number of hours you practice is -0.36.
D) The number of apricots on a tree and the amount of fertilizer have a 1.12 correlation.
E) There is a strong correlation between type of preferred pet and income level.
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Multiple Choice
A) strong and positive.
B) strong and negative.
C) weak and negative.
D) weak and positive.
E) nonexistent.
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Multiple Choice
A) The quantitative variable condition is satisfied.
B) The linearity condition is satisfied.
C) There are no obvious outliers.
D) All of the above.
E) None of the above.
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Multiple Choice
A) remain the same.
B) become positive.
C) become weaker negative.
D) become stronger negative.
E) become zero.
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Multiple Choice
A) logarithmic
B) quadratic
C) linear
D) exponential
E) power
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Multiple Choice
A) oil.
B) oil consumption.
C) carbon dioxide emissions.
D) countries.
E) none of the above.
Correct Answer
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Multiple Choice
A) sales revenue.
B) amount spent on promotional material.
C) number of coupons offered.
D) supermarket chains.
E) none of the above.
Correct Answer
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Multiple Choice
A) near -0.8
B) exactly -1.0
C) exactly +1.0
D) near 0
E) near +0.8
Correct Answer
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Multiple Choice
A) The more you sleep, the better your quiz score will be.
B) The form of the relationship between Hours Sleep and Quiz score is moderately straight.
C) There are several outliers that explain the low correlation.
D) If we measure Sleep in minutes rather than hours, the correlation will increase.
E) There exists a moderately stong, negative association between Gours Sleep and Quiz score.
Correct Answer
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Multiple Choice
A) +0.35
B) +0.90
C) +0.77
D) -0.89
E) -1.00
Correct Answer
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