please solve this problem Regression Diagnostics and Pitfalls The scatterplot be

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please solve this problem

Regression Diagnostics and Pitfalls The scatterplot below shows fabricated data for the price per share versus earnings per share per year of 100 public corporations. The average earnings per share is $9.75 per year with an SD of $5.98 per year, and the average price per share is $69.23 with an SD of $34.81. The correlation between price and earnings is 0.905. (Use this figure in your calculations, not the value of the correlation coefficient in the applet.) Faux Price per share vs. Earnings Data 140 120 100- 60 0 10 12 16 18 r: 0.91 Regression Line Plot Residuals x-8.45 y 4.69 Problem 8 For this scatterplot, the rms error of regression is a (Q11)? | measure of the scatter ma yptar verical strip, because of (Q12) A good B: poor A. weak associalion B: nonlinear association C heternscedasticity D: outliers E: nane of the ahove

Explanation / Answer

For this scatter plot, rms error of regression will be a good measure of the scatter because of E. None of the above (strong linear association).

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