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 linearcorrelation. Use a significance level of 0.05.r=0.543, n=25O A. Critical values: r = ±0.396, no significant linear correlationOB. Critical values: r = ±0.487, significant linear correlationOC. Critical values: r = ±0.487, no significant linear correlationOD. Critical values: r = ±0.396, significant linear correlation

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Given the linear correlation coefficient rand the sample size n, determine the critical values of rand 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 = t0.396, no significant linear correlation O B. Critical values: r = t0.487, significant linear correlation O C. Critical values: r = +0.487, no significant linear correlation O D. Critical values: r =t0.396, significant linear correlation

Given the linear correlation coefficient rand the sample size n, determine the critical values of rand 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 = t0.396, no significant linear correlation O B. Critical values: r = t0.487, significant linear correlation O C. Critical values: r = +0.487, no significant linear correlation O D. Critical values: r =t0.396, significant linear correlation

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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