K Points: 0 of 1 Save The accompanying data are the number of wins and the...

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K Points: 0 of 1 Save The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful If the x-value is not meaningful to predict the value of y, explain why not (b) x=10 wins (c) x=19 wins (d) x = 15 wins (a) x = 5 wins Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is = x + (Round to two decimal places as needed.) - X Wins and ERA Earned run average, Wins, x y 20 2.72 18 3.26 17 264 16 3 69 14 3.76 12 4.27 11 3.85 K Points: 0 of 1 Save The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful If the x-value is not meaningful to predict the value of y, explain why not (b) x=10 wins (c) x=19 wins (d) x = 15 wins (a) x = 5 wins Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is = x + (Round to two decimal places as needed.) - X Wins and ERA Earned run average, Wins, x y 20 2.72 18 3.26 17 264 16 3 69 14 3.76 12 4.27 11 3.85