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Practice Test 2

# Practice Test 2 - Association Rules Association presentedby...

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Practice Tests 2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Determine whether the scatterplot shows little or no association, a negative association, a linear association, a moderately strong association, or a very strong association (multiple associations are possible). 1) 1) A) Negative association, linear association B) Positive association, moderately strong association C) Negative association, moderately strong association D) Moderately strong association E) Little or no association 2) 2) A) Linear association, moderately strong association B) Moderately strong association C) Negative association, linear association D) Negative association E) Little or no association 1

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3) 3) A) Positive association, moderately strong association, linear association B) Positive association C) Positive association, moderately strong association D) Linear association, moderately strong association E) Linear association 4) 4) A) Negative association, linear association B) Little or no association C) Positive association, moderately strong association D) Positive association, linear association E) Moderately strong association Find the correlation. 5) The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Hours Score 5 64 10 86 4 69 6 86 10 59 9 87 5) A) - 0.224 B) - 0.678 C) 0.678 D) 0.157 E) 0.224 2
Several scatterplots are given with calculated correlations. Which is which? 6) 1) 2) 3) 4) 6) 3

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Solve the problem. 7) Soda is often considered unhealthy because its content is high in both caffeine and refined sugar. But are the two related? Caffeine and refined sugar contents (in milligrams) of 12 ounces of several brands of soda are shown on the following scatterplot. The correlation between caffeine and refined sugar is 0.187. Describe the association. 7) Tell what the residual plot indicates about the appropriateness of the linear model that was fit to the data. 8) 8) A) Model is appropriate. B) Model may not be appropriate. The spread is changing. C) Model is not appropriate. The relationship is nonlinear. 4
9) 9) A) Model is not appropriate. The relationship is nonlinear. B) Model may not be appropriate. The spread is changing. C) Model is appropriate. Use the model to make the appropriate prediction. 10) ^ A golf ball is dropped from 15 different heights (in inches) and the height of the bounce is recorded (in inches.) The regression analysis gives the model bounce = 0.5 + 0.69 drop. Predict the height of the bounce if dropped from 70 inches.

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