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# Bivariate Data

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The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, (in thousands of miles), that the Cadet had on its odometer at the time it was sold used, and the price, (in thousands of dollars), at which the Cadet was sold used. Also given are the products of the mileages and used selling prices for each of the sixteen Cadets. (These products, written in the column labelled " ," may aid in calculations.)

Mileage, x Used selling price, y xy
(in thousands) (in thousands of dollars)

26.9 30.4 817.76
23.8 28.2 671.16
21.2 31.7 672.04
39.0 22.4 873.6
26.1 26.4 689.04
28.3 26.7 755.61
24.5 27.2 666.4
34.7 25.8 895.26
22.8 30.3 690.84
29.5 28.2 831.9
37.5 22.5 843.75
24.5 30.4 744.8
27.9 29.8 831.42
23.3 33.6 782.88
15.5 34.2 530.1
20.7 30.4 629.28

1. What is the value of the sample correlation coefficient for these data? Round your answer to at least three decimal places.

https://brainmass.com/statistics/correlation/bivariate-data-13232

#### Solution Summary

The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, (in thousands of miles), that the Cadet had on its odometer at the time it was sold used, and the price, (in thousands of dollars), at which the Cadet was sold used. Also given are the products of the mileages and used selling prices for each of the sixteen Cadets. (These products, written in the column labelled " ," may aid in calculations.)

Mileage, x Used selling price, y xy
(in thousands) (in thousands of dollars)

26.9 30.4 817.76
23.8 28.2 671.16
21.2 31.7 672.04
39.0 22.4 873.6
26.1 26.4 689.04
28.3 26.7 755.61
24.5 27.2 666.4
34.7 25.8 895.26
22.8 30.3 690.84
29.5 28.2 831.9
37.5 22.5 843.75
24.5 30.4 744.8
27.9 29.8 831.42
23.3 33.6 782.88
15.5 34.2 530.1
20.7 30.4 629.28