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

Jsing data from 50 workers, a researcher estimates wage =0+1 Edocation +2 Experience +3 Age + where Wage is the hourly vage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table. a-4. 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, Wage is predicted to increase by 0.45 /hour, holding Age and Experience constant. a-2. Interpret the point estimate for 2. As Experience increases by 1 year, Wage is predicted to increase by 0.45 /hour. As Fxberience increaces hv 1 vear. Wane is nredicted to increase hy 144 hoof a-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. b. 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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