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 The equation of the regression line is y =x+O (Round to two decimal places as needed.) Earned run average, y Wins, x 20 2.79 18 3.28 17 2.68 16 3.78 14 3.93 12 4.43 11 3.72 9 5.05
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 The equation of the regression line is y =x+O (Round to two decimal places as needed.) Earned run average, y Wins, x 20 2.79 18 3.28 17 2.68 16 3.78 14 3.93 12 4.43 11 3.72 9 5.05
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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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
E Click the icon to view the table of numbers of wins and earned run average.
(b) x= 10 wins
(c) x= 19 wins
(d) x = 15 wins
Wins and ERA
The equation of the regression line is y =x+
(Round to two decimal places as needed.)
Earned run
Wins, x
average, y
20
2.79
18
3.28
17
2.68
16
3.78
14
3.93
12
4.43
11
3.72
9
5.05
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