Question
In: Statistics and Probability
The accompanying data are the number of wins and the earned run averages (mean number of...
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=21 wins
(d) x=15 wins
Wins, x= 20 18 17 16 14 12 11 9
Earned run average, y= 2.74 3.31 2.65 3.64 3.94 4.34 3.88 5.16
1. Find the regression equation.
- Graph below
Solutions
Expert Solution
It is not meaningful to predict this value of y because x= 21 is not an x-value in the original data
orchestra answered 2 years agoRelated Solutions
The accompanying data are the number of wins and the earned run averages (mean number of...
The accompanying data are the number of wins and the earned run
averages (mean number of earned runs allowed per nine
inningspitched) 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...
The accompanying data are the number of wins and the earned run averages (mean number of...
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...
The accompanying data are the number of wins and the earned run averages (mean number of...
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...
The following data represents the winning percentage (the number of wins out of 162 games in...
The following data represents the winning percentage (the number
of wins out of 162 games in a season) as well as the teams Earned
Run Average, or ERA. The ERA is a pitching statistic. The lower the
ERA, the less runs an opponent will score per game. Smaller ERA's
reflect (i) a good pitching staff and (ii) a good team defense. You
are to investigate the relationship between a team's winning
percentage - Y, and its Earned Run Average (ERA)...
The following data represents the winning percentage (the number of wins out of 162 games in...
The following data represents the winning percentage (the number
of wins out of 162 games in a season) as well as the teams Earned
Run Average, or ERA.
The ERA is a pitching statistic. The lower the ERA, the less runs
an opponent will score per game. Smaller ERA's reflect (i) a good
pitching staff and (ii) a good team defense. You are to investigate
the relationship between a team's winning percentage - YY, and its
Earned Run Average (ERA)...
The accompanying data show the number of people working and the sales for a small bookstore....
The accompanying data show the number of people working and the
sales for a small bookstore. The regression line is given below.
The bookstore decides to have a gala event in an attempt to drum up
business. They hire 103 employees for the day and bring in a total
of $ 41,000.
Sales = 7.873 + 0.946(Number of Salespeople Working)
Number of Salespeople Working // Sales
2 // 9
3 // 12
7 // 14
9 // 14
10 //...
The accompanying data show the number of hours, x, studied for and the grade received, y...
The accompanying data show the number of hours, x,
studied for and the grade received, y (y is
measured in tens; that is, y = 8 means that the grade,
rounded to the nearest 10 points, is 80).
x
2
3
3
4
5
5
5
6
6
6
6
7
7
7
8
y
5
5
7
5
6
7
8
6
9
8
7
9
10
8
9
(a) Use the given scatter diagram to estimate r for...
Refer to the accompanying data set and construct a 90% confidence interval estimate of the mean...
Refer to the accompanying data set and construct a 90%
confidence interval estimate of the mean pulse rate of adult
females; then do the same for adult males. Compare the results.
LOADING... Click the icon to view the pulse rates for adult females
and adult males. Construct a 90% confidence interval of the mean
pulse rate for adult females. nothing bpmless thanmuless than
nothing bpm (Round to one decimal place as needed.) Construct a
90% confidence interval of the mean...
Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean...
Refer to the accompanying data set and construct a 95%
confidence interval estimate of the mean pulse rate of adult
females; then do the same for adult males. Compare the results.
Males : 86. 76. 49. 61. 55. 63. 53. 73. 53. 61. 74. 59. 63. 76.
85. 68. 63. 94. 41. 84. 74. 64. 69. 72. 55. 68. 58. 78. 69. 66. 64.
94. 56. 66. 60. 57. 68. 72. 87. 60.
Females: 81. 91. 60. 68. 57. 81....
Refer to the accompanying data set and construct a 90% confidence interval estimate of the mean...
Refer to the accompanying data set and construct a 90%
confidence interval estimate of the mean pulse rate of adult
females; then do the same for adult males. Compare the results.
Males Females
87 77
74 92
51 56
60 65
54 54
61 83
51 78
77 85
49 89
62 55
74 34
59 68
66 81
76 79
80 79
63 66
64 66
96 80
45 58
85 61
72 82
62 85
73 72
71 ...
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