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# In examining the determinants of income, data were collected regarding

the characteristics of 45 adults, and the regression model was used, where Y is the annual income (in thousands of dollars), x1 is the person's age, x2  is his/her years of education, and x3 is a dummy variable = 1 if the adult is female.

If you get y= 26.3+ 1.38x1+2.98x2 -0.76x3 when you run the regression, how would you interpret the coefficient on gender?

a.) For each additional year of education, a woman earns \$760 less than a man.
b.) A woman earns 76% of a man's earnings.
c.) For each additional year in the age, a woman earns \$760 less than a man.
d.) On average, a woman earns \$760 less than a man.

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