Assume that the dummy variables Married=1 if married (0 if not married), Sex=1 if male (0 if female), and that you estimate the equation: log(wage)= B0 + B1*Married + B2*Sex +B3*(Married*Sex). The estimated log wage for an unmarried woman can be estimated by: a.B0 b.B0+B1+B2 c.B0+B1+B2+B3 d.B0+B3
Assume that the dummy variables Married=1 if married (0 if not married), Sex=1 if male (0 if female), and that you estimate the equation: log(wage)= B0 + B1*Married + B2*Sex +B3*(Married*Sex). The estimated log wage for an unmarried woman can be estimated by: a.B0 b.B0+B1+B2 c.B0+B1+B2+B3 d.B0+B3
Chapter6: Exponential And Logarithmic Functions
Section6.7: Exponential And Logarithmic Models
Problem 19TI: Does a linear, exponential, or logarithmic model best fit the data in Table 2? Find the model.
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Assume that the dummy variables Married=1 if married (0 if not married), Sex=1 if male (0 if female), and that you estimate the equation: log(wage)= B0 + B1*Married + B2*Sex +B3*(Married*Sex). The estimated log wage for an unmarried woman can be estimated by: a.B0 b.B0+B1+B2 c.B0+B1+B2+B3 d.B0+B3
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