In examining the determinants of income, data were collected
regarding the characteristics of 45 adults, and the regression
Y = β1 +
β2S + β3D
+ β3 (S*D )+ u was
used, where Yis the annual income (in thousands of
dollars), S is his/her years of education, and D
is a dummy variable = 1 if the adult is female.
If you get
= 26.3 + 2.94S - 0.76D+ 0.34(S ∙
D) when you run the regression, which of the following is
true?
The regression for males is
= 26.3 + 2.94S - 0.76D+ 0.34(S ∙
D)
The regression for females is
= 25.54 + 3.28S
The regression for males is
= 25.54 + 2.94S
None of these regressions are correct.
Answer: (B) The regression for females is Y
= 25.54 + 3.28S
The regression equation is:
Y = 26.3 + 2.94S - 0.76D + 0.34(S ∙ D)
>> The regression equation for male is:
Y = 26.3 + 2.94S - 0.76*0 + 0.34(S*0)
Y = 26.3 + 2.94S
>> The regression equation for female is:
Y = 26.3 + 2.94S - 0.76*1 + 0.34(S*1)
Y = 25.54 + 3.28S
In examining the determinants of income, data were collected regarding the characteristics of 45 adults, and...
In examining the determinants of income, data were collected regarding the characteristics of 45 adults, and the regression Y = β1 + β2S + β3D + β3 (S*D )+ u was used, where Y is the annual income (in thousands of dollars), S is his/her years of education, and D is a dummy variable = 1 if the adult is female. If you get = 26.3 + 2.94S - 0.76D + 0.34(S ∙ D) when you run the regression, which...
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