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CoursHeroTranscribedText: A data set contains information about the hourly wage (in U.S. dollars) and the gender of each of the 534 workers surveyed in 1985,

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CoursHeroTranscribedText: A data set contains information about the hourly wage (in U.S. dollars) and the gender of each of the 534 workers surveyed in 1985, as well as information about each worker's age, union membership, and education level (measured in years of education). A linear regression analysis was performed to model hourly wage as a function of worker sex, number of years of education, and union membership. Below are the results from this regression: Regression Standard Error Coefficient of Regression Coefficient sex (1 = Female, 0 = Male) 1.9 0.4 union member (1 = yes, 0 = no) 0.5 years of education 0.76 0.08 intercept 0.3 1- Write the regression equation 2- Using the regression equation, estimate the mean hourly wage in 1985 for male workers with a high school education (12 years of education), who were not union members. 3- Interpretate the results

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