Question: Jsing data from 50 workers, a researcher estimates Wage =0+1 Education +2 Experience +3 ge +0 where Wage is the hourly wage rate and Education,

 Jsing data from 50 workers, a researcher estimates Wage =0+1 Education
+2 Experience +3 ge +0 where Wage is the hourly wage rate

Jsing data from 50 workers, a researcher estimates Wage =0+1 Education +2 Experience +3 ge +0 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. espectively. A portion of the regression results is shown in the following table. p-1. Interpret the point estimate for 1. As Education increases by 1 year, Wage is predicted to increase by 1.44/ hour. As Education increases by 1 year, Wage is predicted to increase by 0.45 hour. As Education increases by 1 year, Wage is predicted to increase by 1.44/ hour, holding Age and Experience constant. As Education increases by 1 year, Woge is predicted to increase by 0.45 /hout, holding Age and Experience constant. p-2. Interpret the point estimote for 2. As Experience increases by 1 year, Woge is predicted to increase by 0.45 hour. As Experience increases by 1 year, Wage is predicted to increase by 1,44 hour. As Experience increases by 1 yeac, Wage is predicted to increase by 1,44/ hour, holding Age and Education constant. As Experience increases by 1 year, Wage is predicted to increase by 0.45 mour, holding Age and Education constant. b. What is the sample regression equation? Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. As Education increases by 1 year, Wage is predicted to increase by 1.44/ hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.45/ hour, holding Age and Experience constant. 2.2. Interpret the point estimate for 2. As Experience increases by 1 year, Wage is predicted to increase by 0.45/ hour. As Experience increases by 1 year, Wage is predicted to increase by 1.44/ hour. As Experience increases by 1 year, Wage is predicted to increase by 1.44/ hour, holding Age and Education constant. As Experience increases by 1 year, Wage is predicted to increase by 0.45 hour, holding Age and Education constant. p. What is the sample regression equation? Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. c. Predict the hourly wage rate for a 30 -year-old worker with 4 years of higher education and 3 years of experience. Note: Round your answer to 2 decimal places

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