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.)
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.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff675898d-3fe8-40cd-9afe-fa982eda0648%2F17230c02-6798-4135-8598-1de8b42e32c8%2Fe2c4lak_processed.png&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.
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff675898d-3fe8-40cd-9afe-fa982eda0648%2F17230c02-6798-4135-8598-1de8b42e32c8%2Fwd8dpkn_processed.png&w=3840&q=75)
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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