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It is important to check that the assumptions of a simple linear regression model are satisfied. There are several assumptions that can be quickly checked using different types of plots. One such plot is given below. Use the plot to determine which one model assumption (if any) is clearly violated. OA. The residuals are independent. OB. The residuals have a zero mean. OC. The residuals are normally distributed. O D. No assumption is violated. O E. The residuals have a constant variance. -100 Predicted values

It is important to check that the assumptions of a simple linear regression model are satisfied. There are several assumptions that can be quickly checked using different types of plots. One such plot is given below. Use the plot to determine which one model assumption (if any) is clearly violated. OA. The residuals are independent. OB. The residuals have a zero mean. OC. The residuals are normally distributed. O D. No assumption is violated. O E. The residuals have a constant variance. -100 Predicted values

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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It is important to check that the assumptions of a simple linear regression model are satisfied. There are several assumptions that can be quickly checked using different types of plots. One such plot is given below. Use the plot to determine which one model assumption (if any) is clearly violated. O A. The residuals are independent. OB. The residuals have a zero mean. O C. The residuals are normally distributed. O D. No assumption is violated. O E. The residuals have a constant variance. R -100 -50 Predicted values -25
Transcribed Image Text:It is important to check that the assumptions of a simple linear regression model are satisfied. There are several assumptions that can be quickly checked using different types of plots. One such plot is given below. Use the plot to determine which one model assumption (if any) is clearly violated. O A. The residuals are independent. OB. The residuals have a zero mean. O C. The residuals are normally distributed. O D. No assumption is violated. O E. The residuals have a constant variance. R -100 -50 Predicted values -25
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