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.

The directions on a sewing pattern say to cut an extra 15% of fabric to account for error.chloe needs 0.75 yard of fabric to make a skirt, and she cuts 0.1125 yard.did chloe cut the correct amount of fabric? why or why not? a. chloe cut enough fabric because she cut the amount of fabric for the skirt. b. chloe cut enough fabric because she cut enough fabric for the skirt and the amount of extra fabric. c. chloe did not cut enough fabric because she only cut the amount of fabric for the skirt. d. chloe did not cut enough fabric because she only cut the amount of extra fabric.