Question: 13.4. For 2014 data, the GSS website yields the prediction equation y = 9.59+0.166x1+0.347x2 for y = highest year of school completed, x1 = sex

13.4. For 2014 data, the GSS website yields the prediction equation ˆy = 9.59+0.166x1+0.347x2 for y = highest year of school completed, x1 = sex (1 = male, 2 = female), and x2 = highest year of mother’s education completed.

(a) Interpret the estimated partial effects.

(b) A more usual dummy coding for sex would be 0 = male and 1 = female. Would the estimated effects of x1 and x2 then change? Explain.

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