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 equatio 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 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. Wins and ERA O The equation of the regression line is y=x+ (Round to two decimal places as needed.) Wins, x 20 18 17 16 14 12 11 9 Earned run average, y 2.72 3.26 2.59 3.68 3.94 4.37 3.82 5.06
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 equatio 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 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. Wins and ERA O The equation of the regression line is y=x+ (Round to two decimal places as needed.) Wins, x 20 18 17 16 14 12 11 9 Earned run average, y 2.72 3.26 2.59 3.68 3.94 4.37 3.82 5.06
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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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.
X
Wins and ERA
D
The equation of the regression line is y=x+0
(Round to two decimal places as needed.)
Wins, x
20
18
17
16
14
12
11
9
Earned run
average, y
2.72
3.26
2.59
3.68
3.94
4.37
3.82
5.06](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2efc1b7c-4803-4177-8fdb-49aa376782de%2Fba91d6d4-ee2b-4143-80c8-c4e0a5150c38%2F1p06gte_processed.jpeg&w=3840&q=75)
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.
X
Wins and ERA
D
The equation of the regression line is y=x+0
(Round to two decimal places as needed.)
Wins, x
20
18
17
16
14
12
11
9
Earned run
average, y
2.72
3.26
2.59
3.68
3.94
4.37
3.82
5.06
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