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4. A linear regression was performed on a random sample of girls' using their heights in inches as the response variable and ages between 2 to 10 years old as the explanatory variable. A. The correlation coefficient (r) was calculated as: r = +0.87. What does this tell is about the slope of the regression equation as well as the strength of fit of the linear regression? The plot below shows the RESIDUALS of the Linear Regression B. What does the residual plot tell us about using a linear regression model to predict girls' heights by age? Explain: C. Predicting a six-year-old girl's height from the regression equation gives a predicted height of 43 inches. Do you expect this prediction to be accurate? If not, will it be too big or too small? Explain:

4. A linear regression was performed on a random sample of girls' using their heights in inches as the response variable and ages between 2 to 10 years old as the explanatory variable. A. The correlation coefficient (r) was calculated as: r = +0.87. What does this tell is about the slope of the regression equation as well as the strength of fit of the linear regression? The plot below shows the RESIDUALS of the Linear Regression B. What does the residual plot tell us about using a linear regression model to predict girls' heights by age? Explain: C. Predicting a six-year-old girl's height from the regression equation gives a predicted height of 43 inches. Do you expect this prediction to be accurate? If not, will it be too big or too small? Explain:

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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4. A linear regression was performed on a random sample of girls' using their heights in inches as the response variable and ages between 2 to 10 years old as the explanatory variable. A. The correlation coefficient (r) was calculated as: r = + 0.87. What does this tell is about the slope of the regression equation as well as the strength of fit of the linear regression? The plot below shows the RESIDUALS of the Linear Regression B. What does the residual plot tell us about using a linear regression model to predict girls' heights by age? Explain: C. Predicting a six-year-old girl's height from the regression equation gives a predicted height of 43 inches. Do you expect this prediction to be accurate? If not, will it be too big or too small? Explain:
Transcribed Image Text:4. A linear regression was performed on a random sample of girls' using their heights in inches as the response variable and ages between 2 to 10 years old as the explanatory variable. A. The correlation coefficient (r) was calculated as: r = + 0.87. What does this tell is about the slope of the regression equation as well as the strength of fit of the linear regression? The plot below shows the RESIDUALS of the Linear Regression B. What does the residual plot tell us about using a linear regression model to predict girls' heights by age? Explain: C. Predicting a six-year-old girl's height from the regression equation gives a predicted height of 43 inches. Do you expect this prediction to be accurate? If not, will it be too big or too small? Explain:
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