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Mathematics, 19.05.2020 15:11 jennynmike03

The correlation coefficient of a data set relating the random variables X and Y is −0.95. Which statement about the data is true?

A. A linear model is not a good fit for the data because the value of the correlation coefficient is not close to 1.

B. A linear model is a good fit for the data because the value of the correlation coefficient is close to −1.

C. A linear model is not a good fit for the data because the value of the correlation coefficient is negative.

D. A linear model is a good fit for the data because the value of the correlation coefficient is negative.

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