### Explanation of Regression Function Parameters**Question:**What is/are the parameter(s) in the regression function below that capture(s) the unexplained portion of the black-white wage gap?**Regression Function:**\[ \text{Wage} = \beta_1 \times \text{state} + \beta_2 \times \text{education} + \beta_3 \times \text{part-time} + \beta_4 \times \text{industry/occupation} + \beta_5 \times \text{age} + \beta_6 \times \text{black} \]**Answer Options:**- [ ] beta3- [ ] beta1- [ ] beta4- [ ] beta5- [ ] beta2- [ ] beta6- [ ] alpha**Explanation:**In this context, the parameter that captures the unexplained portion of the black-white wage gap is typically associated with the variable related to race or ethnicity, which in this case is $\beta_6 \times \text{black}$. This parameter represents the estimated effect of being black on wages, after controlling for all other factors. Therefore, the correct parameter is $\beta_6$.

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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What is/are the parameter(s) in the regression function below that capture(s) the unexplained portion of the black-white wage gap. Wage = beta1*state + beta2*education + beta3*part-time + beta4*industry/occupation + beta5*age + beta6*black beta3

What is/are the parameter(s) in the regression function below that capture(s) the unexplained portion of the black-white wage gap. Wage = beta1state + beta2education + beta3part-time + beta4industry/occupation + beta5age + beta6black beta3