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). E Click the icon to view the data table. (a) Treating compensation as the explanatory variable, x, use technology to determine the estimates of Bo and B,- The estimate of B, is (Round to three decimal places as needed.) Data Table of Compensation and Stock Performante Compensation Company (millions of dollars) Return (%) O Stock A 14.71 75.73 В 4.02 64.29 C 6.55 141.81 D 1.32 30.73 1.73 10.75 2.43 29.05 12.26 0.56 7.07 66.32 9.51 56.31 J 3.83 58.48 K 21.29 21.52 6.63 31.85 Print Done

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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).
E Click the icon to view the data table.
(a) Treating compensation as the explanatory variable, x, use technology to determine the estimates of Bo and B,-
The estimate of B, is
(Round to three decimal places as needed.)
Data Table of Compensation and Stock Performante
Compensation
Company (millions of dollars) Return (%) O
Stock
A
14.71
75.73
В
4.02
64.29
C
6.55
141.81
D
1.32
30.73
1.73
10.75
2.43
29.05
12.26
0.56
7.07
66.32
9.51
56.31
J
3.83
58.48
K
21.29
21.52
6.63
31.85
Print
Done
Transcribed Image Text: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). E Click the icon to view the data table. (a) Treating compensation as the explanatory variable, x, use technology to determine the estimates of Bo and B,- The estimate of B, is (Round to three decimal places as needed.) Data Table of Compensation and Stock Performante Compensation Company (millions of dollars) Return (%) O Stock A 14.71 75.73 В 4.02 64.29 C 6.55 141.81 D 1.32 30.73 1.73 10.75 2.43 29.05 12.26 0.56 7.07 66.32 9.51 56.31 J 3.83 58.48 K 21.29 21.52 6.63 31.85 Print Done
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The regression analysis is a statistical procedure that allow us to find the linear association between the dependent variable/ outcome variable and one or more independent variables /predictor variables. When there lies linear relationship between the variables, regression analysis will allow us to compute the value of outcome variable using the provided information of predictor variables.

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