The scatterplot below shows the relationship between the percent of families that own their home and the percent of the population living in urban areas for each state. A residual plot is also shown. Based residual plot, what do you observe and what does that tell you about if a least squares regression line is appropriate for this data? 40 60 80 % Urban population The residuals appear to be fan shaped, indicating constant variance, so a least squares regression line is appropriate for this data. Oa. The residuals appear to be fan shaped, indicating non-constant variance, so a least squares regression line is not appropriate for this data. Ob. The residuals appear to be fan shaped, indicating constant variance, so a least squares regression line is not appropriate for this data. Oc. Od The residuals appear to be fan shaped, indicating non-constant variance, so a least squares regression line is appropriate for this data. % Who own home 75 09

The scatterplot below shows the relationship between the percent of families that own their home and the percent of the population living in urban areas for each state. A residual plot is also shown. Based residual plot, what do you observe and what does that tell you about if a least squares regression line is appropriate for this data? 40 60 80 % Urban population The residuals appear to be fan shaped, indicating constant variance, so a least squares regression line is appropriate for this data. Oa. The residuals appear to be fan shaped, indicating non-constant variance, so a least squares regression line is not appropriate for this data. Ob. The residuals appear to be fan shaped, indicating constant variance, so a least squares regression line is not appropriate for this data. Oc. Od The residuals appear to be fan shaped, indicating non-constant variance, so a least squares regression line is appropriate for this data. % Who own home 75 09

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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(e) Find the least-squares regression line treating square footage as the explanatory variable.
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