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O 33% of the variation in miles walked can be explained by the regression with the number of shoes owned. O 33% of the time, the miles walked correlate with the number of shoes owned O The probability that miles walked and number of shoes owned is correlation is 0.33

O 33% of the variation in miles walked can be explained by the regression with the number of shoes owned. O 33% of the time, the miles walked correlate with the number of shoes owned O The probability that miles walked and number of shoes owned is correlation is 0.33

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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Data was collected on the number of pairs of shoes people own and the number of miles they walk per week, r = 0.33. Then... O 33% of the variation in miles walked can be explained by the regression with the number of shoes owned. O 33% of the time, the miles walked correlate with the number of shoes owned O The probability that miles walked and number of shoes owned is correlation is 0.33 If the slope of the regression line is negative, then the correlation coefficient i v Select an answer positive negative
Transcribed Image Text:Data was collected on the number of pairs of shoes people own and the number of miles they walk per week, r = 0.33. Then... O 33% of the variation in miles walked can be explained by the regression with the number of shoes owned. O 33% of the time, the miles walked correlate with the number of shoes owned O The probability that miles walked and number of shoes owned is correlation is 0.33 If the slope of the regression line is negative, then the correlation coefficient i v Select an answer positive negative
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