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) 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) 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) 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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