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Run a regression of average hourly earnings (AHE) on age (Age), sex (Female), and education (Bachelor). If Age increases from 25 to 26, how are

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  1. Run a regression of average hourly earnings (AHE) on age (Age), sex (Female), and education (Bachelor). If Age increases from 25 to 26, how are earnings expected to change?
  2. If Age increases from 33 to 34, how are earnings expected to change? (1 point)
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Call: Im(formula = ahe ~ age + female + bachelor, data = df) Residuals: Min 10 Median 30 Max 27.913 -6.647 -1.865 4. 252 83.908 Coefficients: Estimate Std. Error + value Pr(>Itl) (Intercept) 2.04481 1.35465 1.509 0.131 age 0. 53128 0. 04507 11.788

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