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N1 7. We estimate a regression of log hourly wage on a binary female variable on a random example of employees in computer science occupations

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7. We estimate a regression of log hourly wage on a binary "female" variable on a random example of employees in computer science occupations in the USA in 2014. The slope coefficient estimate is -0.15; its 95% CI is [0.18,-0.12]. Interpret these results.

8. In the previous regression, the software reports a p-value of 0.000 next to the slope coefficient. What does this mean?

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