Question

The accompanying data represent the total compensation for 12 randomly selected chief executive officers (CEO) and the company's stock performance in a recent year. Complete parts (a) through (d) below.

Company |
Compensation ($mil) |
Stock Return (%) |
|||
---|---|---|---|---|---|

Company A |
14.5514.55 |
75.4475.44 |
|||

Company B |
4.094.09 |
64.0464.04 |
|||

Company C |
7.127.12 |
142.09142.09 |
|||

Company D |
1.051.05 |
32.6932.69 |
|||

Company E |
1.971.97 |
10.6610.66 |
|||

Company F |
3.723.72 |
30.6130.61 |
|||

Company G |
12.0112.01 |
0.720.72 |
|||

Company H |
7.567.56 |
69.4569.45 |
|||

Company I |
8.438.43 |
58.7558.75 |
|||

Company J |
4.044.04 |
55.9855.98 |
|||

Company K |
20.9220.92 |
24.2924.29 |
|||

Company L |
6.696.69 |
32.2132.21 |

a) One would think that a higher stock return would lead to a higher compensation. Based on this, what would likely be the explanatory variable? choose one.

o Compensation

o Stock return

(b) Draw a scatter diagram of the data. Use the result from part (a) to determine the explanatory variable. Choose the correct graph below.

(c) Determine the linear correlation coefficient between compensation and stock return. r= ___

(d) Does a linear relation exist between compensation and stock return? Does stock performance appear to play a role in determining the compensation of a CEO?

Answer #1

Question:
The accompanying data represent the total compensation for 12
randomly selected chief executive officers (CEO) and the
company's stock performance in a recent year. Complete parts (a)
through (d) below.
Company Compensation
($mil) Stock Return (%)
Company
A 14.58 75.45
Company
B 4.07 63.99
Company
C 7.08 142.06
Company
D 1.07 32.69
Company
E 1.98 10.68
Company
F 3.79 30.69
Company
G 12.07
0.72
Company
H 7.56 69.43
Company
I 8.47 58.75
Company
J 4.05 55.95
Company
K 20.85 24.33
Company
L 6.66 32.25
(a) One would think that a higher stock return
would lead to a higher compensation. Based on this, what would...

The accompanying data represent the total compensation for 12
randomly selected chief executives officers(CEO) and the company's
stock performance in a recent year
Company Compensation($mil)Stock Return(%)
Company A 14.56 75.49
Company B 4.09 63.96
Company C 7.07 142.03
Company D 1.04 32.66
Company E 1.91 10.63
Company F 3.76 30.69
Company G 12.03 0.78
Company H 7.63 69.43
Company I 8.47 58.66
Company J 4.06 55.91
Company k 20.92 24.31
Company L 6.67 32.25
(a). One would think that a...

The accompanying data represent the total compensation for 12
randomly selected chief executive officers (CEO) and the
company's stock performance in a recent year.
Company Compensation ($mil) Stock Return
(%)
Company A 14.52 75.46
Company B 4.07 64.01
Company C 7.15 142.09
Company D 1.07 32.67
Company E 1.93 10.67
Company F 3.79 30.69
Company G 12.01 0.75
Company H 7.58 69.39
Company I 8.44 58.65
Company J 4.06 55.91
Company K 20.89 24.29
Company L 6.61 32.23
(c) Determine...

The accompanying data represent the total compensation for 12
randomly selected chief executive officers (CEOs) and the
company's stock performance.
Company Compensation Return
A 14.62 74.84
B 3.29 60.79
C 6.65 141.68
D 1.92 33.03
E 1.78 11.89
F 2.88 30.99
G 11.37 0.92
H 6.81 64.52
I 8.91 52.12
J 3.17 52.88
K 20.67 23.68
L 6.43 31.83
(a) Treating compensation as the explanatory
variable, x, use technology to determine the estimates of β0 and
β1.
The estimate of...

The accompanying data represent the total compensation for 12
randomly selected chief executive officers (CEOs) and the
company's stock performance. Use the data to complete parts (a)
through (d). LOADING... Click the icon to view the data table.
(a) Treating compensation as the explanatory variable, x, use
technology to determine the estimates of beta 0 and beta 1. The
estimate of beta 1 is nothing. (Round to three decimal places as
needed.) Enter your answer in the answer box and...

The accompanying data represent the total compensation for 12
randomly selected chief executive officers (CEOs) and the
company's stock performance. Use the data to complete parts (a)
through (d).
Company Compensation Return
A 15.68 79.64
B 4.57 69.24
C 7.75 146.24
D 1.35 38.22
E 1.33 11.43
F 2.53 29.56
G 12.81 0.53
H 6.71 69.57
I 8.01 55.37
J 3.24 52.04
K 21.37 25.73
L 6.82 30.89
treating compensation as the explanatory variable, x, use
technology to determine...

The accompanying data represent the total compensation for 12
randomly selected chief executive officers (CEOs) and the company's
stock performance. Use the data to complete parts (a) through
(d).
3 Click the icon to view the data table.
Data Table of Compensation and Stock
Performance
Company Compensation (millions of
dollars) StockReturn (%)
A
13.82
71.39
B
3.83
69.37
C
6.16
141.42
D
1.95
37.61
E
1.13
10.34
F
3.71
29.55
G
11.96
0.77
H
6.22
62.48
I
9.31
53.21
J ...

The given data represent the total compensation for 10 randomly
selected CEOs and their company's stock performance in 2009.
Analysis of this data reveals a correlation coefficient of r equals
= −0.2260. What would be the predicted stock return for a company
whose CEO made $15 million? What would be the predicted stock
return for a company whose CEO made $25 million?
Compensation ($ millions) Stock Return (%)
25.97 5.98
12.55 30.83
19.42 31.48
13.25 79.72
12.68 -8.12
12.11 2.38...

please get the right answer!!! thumbs down!!
The given data represent the total compensation for 10 randomly
selected CEOs and their company's stock performance in 2009.
Analysis of this data reveals a correlation coefficient of
requals=negative 0.2200.
What would be the predicted stock return for a company whose CEO
made $15 million? What would be the predicted stock return for a
company whose CEO made $25 million?
LOADING...
Click the icon to view the compensation and stock performance
data.
LOADING......

The data in the accompanying table represent the heights and
weights of a random sample of professional baseball players.
Complete parts (a) through (c) below.
Player Height_(inches)
Weight_(pounds)
Player_1 75 227
Player_2 75 195
Player_3 72 180
Player_4 82 231
Player_5 69 185
Player_6 74 190
Player_7 75 228
Player_8 71 200
Player_9 75 230
(a) Draw a scatter diagram of the data, treating
height as the explanatory variable and weight as the response
variable.
(b) Determine the least-squares...

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