Using data from 50 workers, a researcher estimates Wage=Bo + BEducation + BExperience + B3Age +...

 

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Using data from 50 workers, a researcher estimates Wage=Bo + B₁Education + B₂Experience + B3Age + &, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. The regression results are shown in the following table. Coefficients 6.08 1.24 0.48 -0.04 a-1. Interpret the point estimate for $1. Intercept Education Experience Age Standard Error 4.15 0.34 0.18 0.09 9= t Stat 1.47 3.65 2.67 -0.44 p-Value 0.1497 0.0007 O As Education increases by 1 year, Wage is predicted to increase by 1.24/hour. O As Education increases by 1 year, Wage is predicted to increase by 0.48/hour. O As Education Increases by 1 year, Wage is predicted to increase by 1.24/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.48/hour, holding Age and Experience constant. a-2. Interpret the point estimate for 2. O As Experience increases by 1 year, Wage is predicted to increase by 1.24/hour. O As Experience increases by 1 year, Wage is predicted to increase by 0.48/hour. O As Experience increases by 1 year, Wage is predicted to increase by 1.24/hour, holding Age and Education constant. O As Experience increases by 1 year, Wage is predicted to increase by 0.48/hour, holding Age and Education constant. Education + 0.0105 0.6588 b. What is the sample regression equation? (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Experience + Age c. Predict the hourly wage rate for a 37-year-old worker with 4 years of higher education and 2 years of experience. (Round final answer to 2 decimal places.) Using data from 50 workers, a researcher estimates Wage=Bo + B₁Education + B₂Experience + B3Age + &, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. The regression results are shown in the following table. Coefficients 6.08 1.24 0.48 -0.04 a-1. Interpret the point estimate for $1. Intercept Education Experience Age Standard Error 4.15 0.34 0.18 0.09 9= t Stat 1.47 3.65 2.67 -0.44 p-Value 0.1497 0.0007 O As Education increases by 1 year, Wage is predicted to increase by 1.24/hour. O As Education increases by 1 year, Wage is predicted to increase by 0.48/hour. O As Education Increases by 1 year, Wage is predicted to increase by 1.24/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.48/hour, holding Age and Experience constant. a-2. Interpret the point estimate for 2. O As Experience increases by 1 year, Wage is predicted to increase by 1.24/hour. O As Experience increases by 1 year, Wage is predicted to increase by 0.48/hour. O As Experience increases by 1 year, Wage is predicted to increase by 1.24/hour, holding Age and Education constant. O As Experience increases by 1 year, Wage is predicted to increase by 0.48/hour, holding Age and Education constant. Education + 0.0105 0.6588 b. What is the sample regression equation? (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Experience + Age c. Predict the hourly wage rate for a 37-year-old worker with 4 years of higher education and 2 years of experience. (Round final answer to 2 decimal places.)

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a1 Interpret the point estimate for B1 The point estimate for B1 Education is 124 which means that for each additional year of higher education the hourly wage rate is predicted to increase by 124 hol... View the full answer