A regression function used to examine the factors affecting the chief executive officer salary in financial, manufacturing, utilities and transportation sector is given as below. Figures in parentheses are standard errors. Ln Y = 4.59 +0.257 log(X) + 0.158 D₁ +0.181D21-0.283D31 se-(0.30) (0.032) (0.085) (0.099) (0.089) n = 209, R² = 0.357 Where Y = salary (in thousands) X₁ = annual sales {1, D₁ o, D₂- financial sector otherwise manufacturing sector otherwise to, {1, utililities sector D₁ o, otherwise Interpret the coefficient for D₂ Compute the approximate percentage difference in estimated salary between the utilities and transportation sector, holding annual sales fixed. Is the difference statistically significant at 1% level?
A regression function used to examine the factors affecting the chief executive officer salary in financial, manufacturing, utilities and transportation sector is given as below. Figures in parentheses are standard errors. Ln Y = 4.59 +0.257 log(X) + 0.158 D₁ +0.181D21-0.283D31 se-(0.30) (0.032) (0.085) (0.099) (0.089) n = 209, R² = 0.357 Where Y = salary (in thousands) X₁ = annual sales {1, D₁ o, D₂- financial sector otherwise manufacturing sector otherwise to, {1, utililities sector D₁ o, otherwise Interpret the coefficient for D₂ Compute the approximate percentage difference in estimated salary between the utilities and transportation sector, holding annual sales fixed. Is the difference statistically significant at 1% level?
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Related questions
Question
![A regression function used to examine the factors affecting the chief executive officer salary
in financial, manufacturing, utilities and transportation sector is given as below. Figures in
parentheses are standard errors.
Ln Y = 4.59 +0.257 log(X) + 0.158 D₁ +0.181D21 -0.283D31
se = (0.30) (0.032)
(0.089)
(0.085) (0.099)
n = 209, R² = 0.357
Where
Y = salary (in thousands)
X₁ = annual sales
D₁-
D₂=
D₂=
(1, financial sector
otherwise
lo,
manufacturing sector
otherwise
utililities sector
otherwise
Interpret the coefficient for D₂
Compute the approximate percentage difference in estimated salary between the utilities and
transportation sector, holding annual sales fixed. Is the difference statistically significant at
1% level?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F05c063a9-f706-42db-ab77-3be076790627%2Fb1fe3fef-3144-4b23-864a-7bd02204ad7e%2F9uxm1rr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A regression function used to examine the factors affecting the chief executive officer salary
in financial, manufacturing, utilities and transportation sector is given as below. Figures in
parentheses are standard errors.
Ln Y = 4.59 +0.257 log(X) + 0.158 D₁ +0.181D21 -0.283D31
se = (0.30) (0.032)
(0.089)
(0.085) (0.099)
n = 209, R² = 0.357
Where
Y = salary (in thousands)
X₁ = annual sales
D₁-
D₂=
D₂=
(1, financial sector
otherwise
lo,
manufacturing sector
otherwise
utililities sector
otherwise
Interpret the coefficient for D₂
Compute the approximate percentage difference in estimated salary between the utilities and
transportation sector, holding annual sales fixed. Is the difference statistically significant at
1% level?
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