Use the given data set to complete parts (a) through (c) below. (Use α=0.05.)a. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient isr=(Round to three decimal places as needed.) Xy107.4686.781312.7497.11117.81148.8466.0845.39128.1476.4155.73 45678910112345678912131415161718192025303540455060708090100α = .05.950.878.811.754.707.666.632.602.576.553.532.514.497.482.468.456.444.396.361.335.312.294.279254.236.220.207.196α = .01.990.959.917.875.834.798.765.735.708.684.661.641.623.606.590.575.561.505.463.430.402.378.361.330.305.286.269.256NOTE: To test Ho: P = 0 against H₁: p = 0,reject Ho if the absolute value of r isgreater than the critical value in the table.

Use the given data set to complete parts (a) through (c) below. (Use α=0.05.) a. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.)

Use the given data set to complete parts (a) through (c) below. (Use α=0.05.) a. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.)

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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