A regression function used to examine the factors affecting the chief executive officer salaryin financial, manufacturing, utilities and transportation sector is given as below. Figures inparentheses are standard errors.Ln Y = 4.59 +0.257 log(X) + 0.158 D₁ +0.181D21 -0.283D31se = (0.30) (0.032)(0.089)(0.085) (0.099)n = 209, R² = 0.357WhereY = salary (in thousands)X₁ = annual salesD₁-D₂=D₂=(1, financial sectorotherwiselo,manufacturing sectorotherwiseutililities sectorotherwiseInterpret the coefficient for D₂Compute the approximate percentage difference in estimated salary between the utilities andtransportation sector, holding annual sales fixed. Is the difference statistically significant at1% level?

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Answered: A regression function used to examine…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.328 b=37.715 r?=0.788544 r=-0.888 Use this to predict the number of situps a person who watches 0.5 hours of TV can do (to one decimal place)
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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: ý=ax+b a=-0.873 b=26.236 r2=0.527076 r=-0.726 Use this to predict the number of situps a person who watches 11 hours of TV can do (to one decimal place)

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