Problem 9 The point of averages of a scatterplot of Y against X is (-13, 19 ). The SD of X is 4, and the SD of Y is 5. The decimal fraction of points in the scatterplot whose X coordinates are between -30.6 and 4.6 and whose Y coordinates are between 6 and 32 is (Q13) [ at most v (Q14) (Hint: Use Chebychev's inequality twice.)Problem 7 The rms error of regression for regressing price against earnings is (Q9) |:| (Q10) 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 $56.75 with an SD of $29.25. The correlation between price and earnings is 0.893. (Use this figure in your calculations, not the value of the correlation coefficient in the applet.) Faux Price per share vs. Earnings Data 140 130- . 120 - 110 - 100 90 80 - 70 60- 50 - 40 - 30 20 10 0 Co - 10 12 14 16 18 20 r: 0.89 Regression Line Plot Residuals X = 14.85 y = 0.00Problem 6 The equation of the regression line for regressing price per share on annual earnings per share is (estimated price per share) =(Q 7) |:| x (annual earnings per share) + $608) |:| 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 $56.75 with an SD of $29.25. The correlation between price and earnings is 0.893. (Use this figure in your calculations, not the value of the correlation coefficient in the applet.) Faux Price per share vs. Earnings Data 40 30 - 20 - 10 - 0 0 A 8 10 12 16 . 18 20 -10 - -20 - -30 - -40 - -50 r: 0.89 Regression Line Plot Residuals X = 14.85 y = 0.00