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Keview Exerises may cOver material from previous chapters. 1. When studying one variable, you can use a graph called a studying the relationship between two variables, you can use a graph ca a

Keview Exerises may cOver material from previous chapters. 1. When studying one variable, you can use a graph called a studying the relationship between two variables, you can use a graph ca a

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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Unemployment rate (percent) The answers to these exercises are on p. A59. 6. REVIEW EXERCISES Review exercises may cover material from previous chapters. 1. When studying one variable, you can use a graph called a studying the relationship between two variables, you can use a graph called When a 2. True or false, and explain briefly: (a) If the correlation coefficient is -0.80, below-average values of the de- pendent variable are associated with below-average values of the inde- pendent variable. (b) If y is usually less than x, the correlation coefficient between x and y will be negative. 1. Chr
Transcribed Image Text:Unemployment rate (percent) The answers to these exercises are on p. A59. 6. REVIEW EXERCISES Review exercises may cover material from previous chapters. 1. When studying one variable, you can use a graph called a studying the relationship between two variables, you can use a graph called When a 2. True or false, and explain briefly: (a) If the correlation coefficient is -0.80, below-average values of the de- pendent variable are associated with below-average values of the inde- pendent variable. (b) If y is usually less than x, the correlation coefficient between x and y will be negative. 1. Chr
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Dear student as per guidelines we answer the first question only, please post another question as a fresh one.

A scattered plot is use to find the relationship between two variables.

But a histogram is used to see the distribution of a single variable.

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