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Linear Modelingmedium
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A human resources analyst fits a regression model: y^=45000+2500x1+8000x2\hat{y} = 45000 + 2500x_1 + 8000x_2y^​=45000+2500x1​+8000x2​ where yyy is annual salary (dollars), x1x_1x1​ is years of experience, and x2x_2x2​ is a dummy variable coded as 1 = male, 0 = female. What is the correct interpretation of the coefficient 8000?