Question: Math-K300 Spring 2022 Online Kierstyn Cochran 04/17/22 9:02 PM E Homework: Section 9.3 Measures of Regression & Prediction In Question 20, 9.3.27-T > HW Score:

 Math-K300 Spring 2022 Online Kierstyn Cochran 04/17/22 9:02 PM E Homework:

Math-K300 Spring 2022 Online Kierstyn Cochran 04/17/22 9:02 PM E Homework: Section 9.3 Measures of Regression & Prediction In Question 20, 9.3.27-T > HW Score: 83.33%, 25 of 30 points Points: 0 of 1 Save The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day) imported by a country, for the last seven years. Construct and interpret a 90% prediction interval for the amount of crude oil imported by the this country when the amount of crude oil produced by the country is 5,545 thousand barrels per day. The equation of the regression line is y = - 1.173x +16,137.166. Oll produced, x 5,846 5,743 5,614 5,431 5,166 5,059 5,022 Oll Imported, y 9,315 9,101 9,692 10,006 10,166 10,194 10,067 Construct and interpret a 90% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,545 thousand barrels per day. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) A. There is a 90% chance that the predicted amount of oil imported is between and thousand barrels, when there are 5,545 thousand barrels produced. B. We can be 90% confident that when the amount of oil produced is 5,545 thousand barrels, the amount of oil imported will be between and

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