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2. The owner of a car wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at a dealership during the last year. Determine the (a) Pearson correlation coefficient; (b) Spearman rank correlation coefficient. Interpret these results Car Age (years) Selling Price ($1000) 1 9 8.1 2 4 5 6 7 12 8 7 6.0 3.6 4.0 5.0 10.0 3 11 789 10 11 8 11 10 12 6 7.6 8.0 8.0 6.0 8.6 12 6 8.0

2. The owner of a car wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at a dealership during the last year. Determine the (a) Pearson correlation coefficient; (b) Spearman rank correlation coefficient. Interpret these results Car Age (years) Selling Price ($1000) 1 9 8.1 2 4 5 6 7 12 8 7 6.0 3.6 4.0 5.0 10.0 3 11 789 10 11 8 11 10 12 6 7.6 8.0 8.0 6.0 8.6 12 6 8.0

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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2. The owner of a car wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at a dealership during the last year. Determine the (a) Pearson correlation coefficient; (b) Spearman rank correlation coefficient. Interpret these results Car Age (years) Selling Price ($1000) 1 9 2 7 3 11 8.1 6.0 3.6 4 12 4.0 9 10 11 10 12 6 5.0 10.0 7.6 8.0 8.0 6.0 5 8 6 7 7 8 8 11 8.6 12 6 8.0
Transcribed Image Text:2. The owner of a car wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at a dealership during the last year. Determine the (a) Pearson correlation coefficient; (b) Spearman rank correlation coefficient. Interpret these results Car Age (years) Selling Price ($1000) 1 9 2 7 3 11 8.1 6.0 3.6 4 12 4.0 9 10 11 10 12 6 5.0 10.0 7.6 8.0 8.0 6.0 5 8 6 7 7 8 8 11 8.6 12 6 8.0
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