Mountain bike and suspension type Refer to the previous exercise. The data file contains price, weight, and

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Mountain bike and suspension type Refer to the previous exercise. The data file contains price, weight, and type of suspension system (FU = full, FE = front@end in the scatterplot shown).

a. Do you observe a linear relationship? Is the single regression line, which is yn = 1896 - 40.45x, the best way to fit the data? How would you suggest fitting the data?

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b. Find separate regression equations for the two suspension types. Summarize your findings.

c. The correlation for all 12 data points is r = -0.32. If the correlations for the full and front-end suspension bikes are found separately, how do you believe the correlations will compare to r = -0.32? Find them and interpret.

d. You see a mountain bike advertised for $700 that weighs 28.5 lb. The type of suspension is not given.

Would you predict that this bike has a full or a frontend suspension? Statistically justify your answer.

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Related Book For  book-img-for-question

Statistics The Art And Science Of Learning From Data

ISBN: 9781292164878

4th Global Edition

Authors: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg

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