The accompanying data are the number of wins and the eaned ru Then construct a scatter plot of the data and draw the regression explain why not (a) x=5 wins E Click the icon to view the table of numbers of wins and earne (b) x= 10 wins (c) x= 19 wins The equation of the regression line is y =x+ (Round to two decimal places as needed.) %3D
The accompanying data are the number of wins and the eaned ru Then construct a scatter plot of the data and draw the regression explain why not (a) x=5 wins E Click the icon to view the table of numbers of wins and earne (b) x= 10 wins (c) x= 19 wins The equation of the regression line is y =x+ (Round to two decimal places as needed.) %3D
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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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
.....
The equation of the regression line is y =x+D
(Round to two decimal places as needed.)
Wins and ERA
Earned run
Wins, x
average, y
20
2.69
18
3.22
17
2.65
16
3.72
14
3.77
12
4.32
11
3.78
5.21
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