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Ramon wants to better understand the relationship between income and hours of sleep, so he performs a regression analysis using sleep as the independent variable and income as the dependent variable. The result is a regression line with an equation of y = 4,500x+13,562 and r = .75. Interpret the slope of the equation. Group of answer choices For every additional hour of sleep, the expected income of a person will increase by $13,562

Ramon wants to better understand the relationship between income and hours of sleep, so he performs a regression analysis using sleep as the independent variable and income as the dependent variable. The result is a regression line with an equation of y = 4,500x+13,562 and r = .75. Interpret the slope of the equation. Group of answer choices For every additional hour of sleep, the expected income of a person will increase by $13,562

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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34. Ramon wants to better understand the relationship between income and hours of sleep, so he performs a regression analysis using sleep as the independent variable and income as the dependent variable. The result is a regression line with an equation of y = 4,500x+13,562 and r = .75.

Interpret the slope of the equation.

Group of answer choices
For every additional hour of sleep, the expected income of a person will increase by $13,562
A person who got 0 hours of sleep would be expected to have an income of $4500
For every additional hour of sleep, the expected income of a person will increase by $4500
A person who got 0 hours of sleep would be expected to have an income of $13,562
 
 
 
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