Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation Use a significance level of 0.05. r=0.543, n=25 O A. Critical values: r = ±0.487, significant linear correlation OB. Critical values: r = ±0.487, no significant linear correlation OC. Critical values: r= ±0.396, no significant linear correlation OD. Critical values: r = ±0.396, significant linear correlation
Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation Use a significance level of 0.05. r=0.543, n=25 O A. Critical values: r = ±0.487, significant linear correlation OB. Critical values: r = ±0.487, no significant linear correlation OC. Critical values: r= ±0.396, no significant linear correlation OD. Critical values: r = ±0.396, significant linear correlation
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given rrepresents a significant linear correlation. Use a
significance level of 0.05.
r=0.543, n=25
O A. Critical values: r = ±0.487, significant linear correlation
OB. Critical values: r = ±0.487, no significant linear correlation
OC. Critical values: r = ±0.396, no significant linear correlation
O D. Critical values: r = ±0.396, significant linear correlation
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