Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. x -1 1 8 5 3 2 4 6 7 0 y -13 -11 6 -2 -5 -9 -4 0 3 -11 a. r = 0.990; linear relation exists b. r = 0.819; linear relation exists c. r = 0.792; no linear relation exists d. r = 0.881; no linear relation exists

Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. x -1 1 8 5 3 2 4 6 7 0 y -13 -11 6 -2 -5 -9 -4 0 3 -11 a. r = 0.990; linear relation exists b. r = 0.819; linear relation exists c. r = 0.792; no linear relation exists d. r = 0.881; no linear relation exists

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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Question

Compute the linear correlation coefficient between the two variables and determine whether
a linear relation exists.
x -1 1 8 5 3 2 4 6 7 0
y -13 -11 6 -2 -5 -9 -4 0 3 -11
a. r = 0.990; linear relation exists
b. r = 0.819; linear relation exists
c. r = 0.792; no linear relation exists
d. r = 0.881; no linear relation exists

Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.

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