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30. Based on the R output, the most appropriate coefficient to describe the relationship between radial cell length and body mass is with value equal to

30. Based on the R output, the most appropriate coefficient to describe the relationship between radial cell length and body mass is with value equal to

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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30. Based on the R output, the most appropriate coefficient to describe the relationship between radial cell length and body mass is with value equal to A. Pearson's r, 0.3059 B. Pearson's r, 0.1896 C. Spearman's r, 0.3419 D. Spearman's r, 0.1401 OL. All of the above W. None of the above
Transcribed Image Text:30. Based on the R output, the most appropriate coefficient to describe the relationship between radial cell length and body mass is with value equal to A. Pearson's r, 0.3059 B. Pearson's r, 0.1896 C. Spearman's r, 0.3419 D. Spearman's r, 0.1401 OL. All of the above W. None of the above
For numbers 30 and 31: A biologist is interested in studying if there exist an association between the radial cell length (mm) and body mass (mg) of 20 randomly selected Nevada bumblebees. R outputs are shown below: Doornik-Hansen test for Multivariate Normality data: Dataset4 DE 14.13139 p-value : 0.006887315 Result : Data are not multivariate normal (sig.level = 0.05) Pearson's product-moment correlation data: x and y t = 1.3632, df - 18, p-value - 0.1896 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.1580047 0.6591915 sample estimates: 0.3059051 Spearman's rank correlation rho data: x and y S = 875.29, p-value = 0.1401 alternative hypothesis: true rho is not equal to 0 sample estimates: 0.3418892
Transcribed Image Text:For numbers 30 and 31: A biologist is interested in studying if there exist an association between the radial cell length (mm) and body mass (mg) of 20 randomly selected Nevada bumblebees. R outputs are shown below: Doornik-Hansen test for Multivariate Normality data: Dataset4 DE 14.13139 p-value : 0.006887315 Result : Data are not multivariate normal (sig.level = 0.05) Pearson's product-moment correlation data: x and y t = 1.3632, df - 18, p-value - 0.1896 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.1580047 0.6591915 sample estimates: 0.3059051 Spearman's rank correlation rho data: x and y S = 875.29, p-value = 0.1401 alternative hypothesis: true rho is not equal to 0 sample estimates: 0.3418892
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