Using data from 50 workers, a researcher estimates wage =0+1 Education +2 Experience +3 Age +, 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. A portion of the regression results is shown in the following table. a-1. Interpret the point estimate for 1. As Education increases by 1 year, Wage is predicted to increase by 1.25/ hour. As Education increases by 1 year, Wage is predicted to increase by 0.51/ hour. As Education increases by 1 year, Wage is predicted to increase by 1.25/ hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.51/ 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 1.25/ hour. As Experience increases by 1 year, Wage is predicted to increase by 0.51/ hour. As Experience increases by 1 year, Wage is predicted to increase by 1.25/hour, holding Age and Education constant. As Experience increases by 1 year, Wage is predicted to increase by 0.51/ 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 39 -year-old worker with 5 years of higher education and 5 years of experience. Note: Do not round intermediate calculations. Round your answer to 2 decimal places