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
Question

14

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
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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