AWE=675.7990+9.3120Ag,R2=0.022,SER=605.4 The coefficient shows the marginal effect of Age on AWE; that is, AWE is expected to increase by 5 for each additional year of is the intercept of the regression line. It determines the overall level of the line. (Round your responses to four decimal places.) The standard error of the regression (SER) is 605.4. What are the units of measurement for the SER? A. Dollars per week. B. Unit-free. C. Dollars per year. D. Dollars. The regression R2 is 0.022. What are the units of measurement for the R2 ? A. Unit-free. B. Dollars per week. C. Dollars. D. Dollars per year. What is the regression's predicted earnings for a 45 -year-old worker? The regression's predicted earnings for a 45-year-old worker are 9 (Round your response to two decimal places.) In this exercise, you will investigate the relationship between a worker's age and earnings. (Generally, older workers have more job experience, leading to higher productivity and earnings.) The following table contains data for full-time, full-years workers, age 25-34, with a high school diploma or B.A./B.S. as their highest degree. Download the data from the table by clicking the download table icon . . A detailed description of the variables used in the dataset is available here . Use a statistical package of your choice to answer the following questions. Suppose you are interested in estimating the following model Ahe=0+1Age+u Run a regression of average hourly earnings (AHE) on age (Age). What is the estimated intercept ^0 ? The estimated intercept ^0 is (Round your response to four decimal places) AWE=675.7990+9.3120Ag,R2=0.022,SER=605.4 The coefficient shows the marginal effect of Age on AWE; that is, AWE is expected to increase by 5 for each additional year of is the intercept of the regression line. It determines the overall level of the line. (Round your responses to four decimal places.) The standard error of the regression (SER) is 605.4. What are the units of measurement for the SER? A. Dollars per week. B. Unit-free. C. Dollars per year. D. Dollars. The regression R2 is 0.022. What are the units of measurement for the R2 ? A. Unit-free. B. Dollars per week. C. Dollars. D. Dollars per year. What is the regression's predicted earnings for a 45 -year-old worker? The regression's predicted earnings for a 45-year-old worker are 9 (Round your response to two decimal places.) In this exercise, you will investigate the relationship between a worker's age and earnings. (Generally, older workers have more job experience, leading to higher productivity and earnings.) The following table contains data for full-time, full-years workers, age 25-34, with a high school diploma or B.A./B.S. as their highest degree. Download the data from the table by clicking the download table icon . . A detailed description of the variables used in the dataset is available here . Use a statistical package of your choice to answer the following questions. Suppose you are interested in estimating the following model Ahe=0+1Age+u Run a regression of average hourly earnings (AHE) on age (Age). What is the estimated intercept ^0 ? The estimated intercept ^0 is (Round your response to four decimal places)
