a) For these data, R² = 0.28. What is the correlation? Round to 2 decimal places. 0.53 How can you tell if it is positive or negative? O We know the correlation is negative due to the negative association shown in the scatterplot We know the correlation is positive due to the negative association shown in the scatterplot We know the correlation is negative due to the positive association shown in the scatterplot O We know the correlation is positive due to the positive association shown in the scatterplot b) Examine the residual plot. What do you observe? Is a simple least squares fit appropriate for these data? O The residuals appear to be fan shaped, indicating non-constant variance, so a simple least squares fit is not appropriate for these data. O The residuals appear to be fan shaped, indicating constant variance, so a simple least squares fit is not appropriate for these data. O The residuals appear to be fan shaped, indicating non-constant variance, so a simple least squares fit is appropriate for these data. O The residuals appear to be fan shaped, indicating constant variance, so a simple least squares fit is appropriate for these data.

a) For these data, R² = 0.28. What is the correlation? Round to 2 decimal places. 0.53 How can you tell if it is positive or negative? O We know the correlation is negative due to the negative association shown in the scatterplot We know the correlation is positive due to the negative association shown in the scatterplot We know the correlation is negative due to the positive association shown in the scatterplot O We know the correlation is positive due to the positive association shown in the scatterplot b) Examine the residual plot. What do you observe? Is a simple least squares fit appropriate for these data? O The residuals appear to be fan shaped, indicating non-constant variance, so a simple least squares fit is not appropriate for these data. O The residuals appear to be fan shaped, indicating constant variance, so a simple least squares fit is not appropriate for these data. O The residuals appear to be fan shaped, indicating non-constant variance, so a simple least squares fit is appropriate for these data. O The residuals appear to be fan shaped, indicating constant variance, so a simple least squares fit is appropriate for these data.

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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