Using data from 50 workers, a researcher estimates wage - Ho + Education - AzExperience + 3 + 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. The regression results are shown in the following table, Standard Coefficienta Error t Stat p-value Intercept 6.89 3.61 0.0626 Education 1.29 0.34 3.79 0.0004 Experience 0.44 0.16 2.75 0.0085 Age -0.04 -0.44 0.6588 3-1. Interpret the point estimate for B1 As Education increases by 1 year, Wage is predicted to increase by 1.29/hour As Education increases by 1 year, Wage is predicted to increase by 0.44/hour. O As Education increases by 1 year, Wage is predicted to increase by 1.29/hour, holding Age and Experience constant As Education increases by 1 year, Wage is predicted to increase by 0.44/hour, holding Age and Experience constant a-2. Interpret the point estimate for B2 As Experience increases by 1 year, Wage is predicted to increase by 1.29/hour. As Experience increases by 1 year, Wage is predicted to increase by 0.44/hour. O As Experience increases by 1 year, Wage is predicted to increase by 1.29/hour, holding Age and Education constant As Experience increases by 1 year, Wage is predicted to increase by 0.44/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.) 9 Education + Experience + Age c. Predict the hourly wage rate for a 29-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.)