5 Standard Coefficients Error t Stat p-Value Intercept 7.48 3.61 2.07 0.0439 Education 1.39 0. 3 3.66 9.0907 Experience 0.48 0.20 2. 46 0.0205 .25 Age -0.01 0.0 -0. 14 0. 8870 oints a-1. Interpret the point estimate for 61. As Education Increases by 1 year, Wage is predicted to Increase by 1.39/hour. As Education Increases by 1 year. Wage is predicted to Increase by 0.48/hour. As Education increases by 1 year, Wage Is predicted to Increase by 1.39/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. -2. Interpret the point estimate for 62- As Experience Increases by 1 year, Wage Is predicted to Increase by 1.39/hour. As Experience Increases by 1 year, Wage Is predicted to Increase by 0.48/hour. As Experience Increases by 1 year, Wage Is predicted to Increase by 1.39/hour, holding Age and Education constant. As Experience Increases by 1 year, Wage is predicted to Increase by 0.48/hour, holding Age and Education constant. b. What Is the sample regression equation? (Negative values should be Indicated by a minus sign. Round your answers to 2 decimal places.) " = I + Education + Experience + Age c. Predict the hourly wage rate for a 24-year-old worker with 4 years of higher education and 3 years of experience. (Do not round Intermediate calculations. Round your answer to 2 decimal places.)