H. Find the slope and y-intercept of each regression line. Then, determine if the correlation between the variables is positive or negative. (12 points) Regression Line Equation 1. Y = 1.751X – 21.722 Slope y-intercept Kind of Correlation 2. Y = -221.943X+65.434 3. Y = -82.455X –314.986 4. Y = 0.997X + 0.168
H. Find the slope and y-intercept of each regression line. Then, determine if the correlation between the variables is positive or negative. (12 points) Regression Line Equation 1. Y = 1.751X – 21.722 Slope y-intercept Kind of Correlation 2. Y = -221.943X+65.434 3. Y = -82.455X –314.986 4. Y = 0.997X + 0.168
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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![H. Find the slope and y-intercept of each regression line. Then, determine if the correlation between the variables is positive or negative. (12 points)
Regression Line Equation
1. Y = 1.751X – 21.722
Slope
y-intercept
Kind of Correlation
2. Y = -221.943X+65.434
3. Y = -82.455X –314.986
4. Y = 0.997X + 0.168](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff6e22306-f3a7-4c6e-9840-de0a752dc9b5%2Ff0627b2a-c2fe-4fd4-85f8-95a578d50622%2F5lo5t77_processed.png&w=3840&q=75)
Transcribed Image Text:H. Find the slope and y-intercept of each regression line. Then, determine if the correlation between the variables is positive or negative. (12 points)
Regression Line Equation
1. Y = 1.751X – 21.722
Slope
y-intercept
Kind of Correlation
2. Y = -221.943X+65.434
3. Y = -82.455X –314.986
4. Y = 0.997X + 0.168
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