Using data from 50 workers, a researcher estimates Wage Be + 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. A portion of the regression results is shown in the following table. Coefficients Standard Error t Stat p-Value Intercept 7.45 3.79 1.97 0.0554 Education 1.06 0.37 2.86 0.0063 Experience 0.37 0.18 2.06 0.0455 Age -0.02 0.06 -0.33 0.7404 a-1. Interpret the point estimate for ẞ1. As Education increases by 1 year, Wage is predicted to increase by 1.06/hour. As Education increases by 1 year, Wage is predicted to increase by 0.37/hour. As Education increases by 1 year, Wage is predicted to increase by 1.06/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.37/hour, holding Age and Experience constant. a-2. Interpret the point estimate for ẞ2. ○ As Experience increases by 1 year, Wage is predicted to increase by 1.06/hour. As Experience increases by 1 year, Wage is predicted to increase by 0.37/hour. O As Experience increases by 1 year, Wage is predicted to increase by 1.06/hour, holding Age and Education constant. As Experience increases by 1 year, Wage is predicted to increase by 0.37/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. + Education + Experience + Age c. Predict the hourly wage rate for a 40-year-old worker with 3 years of higher education and 2 years of experience. Note: Do not round intermediate calculations. Round your answer to 2 decimal places.