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 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=x+ Round to two decimal places as needed.)

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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 =
(Round to two decimal places as needed.)
X +
0
Transcribed Image 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 = (Round to two decimal places as needed.) X + 0
Wins, x
20
18
17
16
14
12
11
9
Earned
run average,
y
2.67
3.28
2.56
3.78
3.78
4.35
3.86
5.01
Transcribed Image Text:Wins, x 20 18 17 16 14 12 11 9 Earned run average, y 2.67 3.28 2.56 3.78 3.78 4.35 3.86 5.01
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