Question

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 givenx-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not.

(a)
xequals=five wins |
(b)
xequals=ten wins |
(c)
xequals=21 wins |
(d)
xequals=15 wins |

the equation of the regression line is y=-0.20x+6.61

Construct a scatter plot of the data and draw the regression line.

(a) Predict the ERA for

five

wins, if it is meaningful. Select the correct choice below and, ifnecessary, fill in the answer box within your choice.

Answer(it is not meaningful to predict this value of y because x=5 is well outside the range of the original data.

(b) Predict the ERA for ten wins, if it is meaningful. Select the correct choice below and, ifnecessary, fill in the answer box within your choice.

Answer: y=4.63

(c) Predict the ERA for

twentyone

wins, if it is meaningful. Select the correct choice below and, ifnecessary, fill in the answer box within your choice.

A. y=____ round to two decimal places as needed

B. it is not meaningful to predict this value of y because x=21 is well outside the range of the original data

C. it is not meaningful to predict this value of y because x=21 is not an x value in the original data.

(d) Predict the ERA for fifteen wins, if it is meaningful. Select the correct choice below and, ifnecessary, fill in the answer box within your choice.

A. y=____

B. it is not meaningful to predict this value of y because x=fifteen is not an x-value in the original data.

C. it is not meaningful to predict this value of y because x=15 is inside the range of the original data.

1: Wins and ERA

Wins, x Earned run average, y

20 2.76

18 3.25

17 2.72

16 3.67

14 3.89

12 4.39

11 3.84

9 5.19

Answer #1

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...

Wins and Earned Run Averages The number of wins
and earned run averages (mean number of runs allowed per nine
innings pitched) for eight professional baseball pitchers in the
2012 regular season are given below. Round your answers to
two decimal places. Find
a) the equation of the regression line and
b) the earned run average predicted for 10 wins.
Wins, x
Earned run average, y
20
2.73
18
3.29
17
2.64
16
3.74
14
3.85
12
4.33
11
3.81...

The accompanying data are the caloric contents and the sugar
contents (in grams) of
1111
high-fiber breakfast cereals. 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)
xequals=150150
cal
(b)
xequals=9090
cal
(c)
xequals=175175...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
Calories, x Sodium, y
150 420
170 470...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
font size decreased by 1 font size increased by...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
(a) x=160 calories
(b) x=100 calories
(c) x=130 calories...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height, x Stories, y
768 52
628 48
518 ...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height comma xHeight, x
772
628
518
508
496...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height comma xHeight, x
768
628
518
511
491...

Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
font size decreased by 1 font size increased by...

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