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Suppose you are using data on two non-negative variables Y and X to calculate Cov(Y, X). After calculating the covariance, you find out that the person entering the data accidentally divided all the values of X by 2 (that is, the person entered X/2 instead of X). If you recalculate the covariance after correcting the data, the absolute value of the corrected covariance will be the absolute value of the uncorrected covariance a. smaller than b. equal to c. larger than

Suppose you are using data on two non-negative variables Y and X to calculate Cov(Y, X). After calculating the covariance, you find out that the person entering the data accidentally divided all the values of X by 2 (that is, the person entered X/2 instead of X). If you recalculate the covariance after correcting the data, the absolute value of the corrected covariance will be the absolute value of the uncorrected covariance a. smaller than b. equal to c. larger than

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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(#8 please explain step-by-Step. It's better to give an example and do not give solution in image format thanku)

Suppose you are using data on two non-negative variables Y and X to calculate Cov(Y, X). After calculating the covariance, you find out that the person entering the data accidentally divided all the values of X by 2 (that is, the person entered X/2 instead of X). If you recalculate the covariance after correcting the data, the absolute value of the corrected covariance will be the absolute value of the uncorrected covariance a. smaller than, b. equal to c. larger than
Transcribed Image Text:Suppose you are using data on two non-negative variables Y and X to calculate Cov(Y, X). After calculating the covariance, you find out that the person entering the data accidentally divided all the values of X by 2 (that is, the person entered X/2 instead of X). If you recalculate the covariance after correcting the data, the absolute value of the corrected covariance will be the absolute value of the uncorrected covariance a. smaller than, b. equal to c. larger than
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