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...


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<br>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<br>to predict the value of y, explain why not.<br>(а) х%3D 5<br>wins<br>(b) x = 10 wins<br>(c) x = 21 wins<br>(d) x = 15 wins<br>%3D<br>Click the icon to view the table of numbers of wins and earned run average.<br>The equation of the regression line is y=<br>X +<br>

Extracted text: 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. (а) х%3D 5 wins (b) x = 10 wins (c) x = 21 wins (d) x = 15 wins %3D Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is y= X +
Earned run<br>Wins, x<br>average, y<br>20<br>2.81<br>18<br>3.22<br>17<br>2.62<br>16<br>3.79<br>14<br>3.93<br>12<br>4.31<br>11<br>3.78<br>9<br>5.06<br>

Extracted text: Earned run Wins, x average, y 20 2.81 18 3.22 17 2.62 16 3.79 14 3.93 12 4.31 11 3.78 9 5.06

Jun 02, 2022
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