Wins and ERA Earned run Wins, x average, y 20 2.65 18 3.36 17 2.69 16 3.71 14 3.94 12 4.38 11 3.76 9. 5.17


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Wins and ERA<br>Earned run<br>Wins, x<br>average, y<br>20<br>2.65<br>18<br>3.36<br>17<br>2.69<br>16<br>3.71<br>14<br>3.94<br>12<br>4.38<br>11<br>3.76<br>9.<br>5.17<br>

Extracted text: Wins and ERA Earned run Wins, x average, y 20 2.65 18 3.36 17 2.69 16 3.71 14 3.94 12 4.38 11 3.76 9. 5.17
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<br>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,<br>if meaningful. If the x-value is not meaningful to predict the value of y, explain why not.<br>(a) x = 5 wins<br>(b) x = 10 wins<br>(c) x = 19 wins<br>(d) x = 15 wins<br>Click the icon to view the table of numbers of wins and earned run average.<br>.....<br>The equation of the regression line is y = 2.78 x+ 1.5<br>(Round to two decimal places as needed.)<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. (a) x = 5 wins (b) x = 10 wins (c) x = 19 wins (d) x = 15 wins Click the icon to view the table of numbers of wins and earned run average. ..... The equation of the regression line is y = 2.78 x+ 1.5 (Round to two decimal places as needed.)

Jun 05, 2022
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