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.

answer: sorry

step-by-step explanation: can you tell me pls how to find the rational of two integers

300pi

step-by-step explanation:

if gloria has "carry over" minutes, (that is, any minutes paid for but not used in a month can be applied to her payment for minutes in the next month,) her total usage for the three months is: total minutes = 320 + 243 + 489 = 1052 minutes number of 200 minute blocks = 1052/200 = 5 r52 (that is 5 with a remainder of 52) rounding up the number of 200 minute blocks gives her usage for the three months as 6 blocks. the cost for six blocks is 6 x $25 = $150 she also has 200 - 52 or 148 carry over minutes if gloria pays each month and unused minutes are lost, applying the rounding up procedure to each month gives: first month usage of 320 minutes rounds up to 2 blocks of 200 minutes for a payment of 2 x $25 = $50 second month usage of 243 minutes rounds up to 2 blocks of 200 minutes for a payment of 2 x $25 = $50 third month usage of 489 minutes rounds up to 3 blocks of 200 minutes for a payment of 3 x $25 = $75 total payments for the three months are $50 + $50 + $75 = $175 get the plan with carry over minutes!

answer: 1.06 km per sec

step-by-step explanation:

39.6 m=63.72 km

60 min in an hour so 63.72/60=1.06