The regression equation below is predicting a person’s hourl…
The regression equation below is predicting a person’s hourly earnings (wage) using years of education (educ), years of experience (exper), and two dummy variables. The dummy variable married equals 1 if the person is married and 0 if otherwise. The dummy variable metro equals 1 if the person lives in a metro area and 0 if otherwise. ANOVA Table Source Degrees of Freedom Sum of Squares Regression 4 3370.1 Error 60 7611.1 Total 64 10981.2 Coefficients Table Source Coefficients Standard Error Intercept -20.57 8.16 educ 2.16 0.48 exper 0.19 0.13 married 5.92 3.17 metro 3.89 3.26 Interpret the coefficient associated with metro.
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