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1. To determine the effect of gender on wages in a particular occupation, a multiple regression model for LN (Income) was determined as Ln(Income) =

1. To determine the effect of gender on wages in a particular occupation, a multiple regression model for LN (Income) was determined as

Ln(Income) = Constant + .3 * Gender + .........+ (several other demographic variables)

Where Gender = 1 for male and 0 for female. Assuming that the assumptions multiple regression model are valid, the best conclusion based on this data is:

a) The income for males is estimated to be 35% more than the income for females

b) After accounting for the several demographic variables, the income for males is estimated to be 30% more than the income for females.

c) After accounting for the several demographic variables, the median income for males is estimated to be 35% more than the median income for females.

d) After accounting for the several demographic variables, the mean income for males is estimated to be 60% of the mean income for females.

e)After accounting for the several demographic variables, the median income for females is estimated to be 70% of the median income for males.

f) After accounting for the several demographic variables, the median income for males is estimated to be 70% of the median income for females.

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