regression? (Give all results, estimale A regression of average weekly carnings (AWE, measured in dollars) on age (measured in years) using a random sample of college-educated full-time workers aged...

Part A, D, E, G

Extracted text: regression? (Give all results, estimale A regression of average weekly carnings (AWE, measured in dollars) on age (measured in years) using a random sample of college-educated full-time workers aged 25-65 yiclds the following 4. 6967+96 x Age, R-0.023, SER 624.1. AWE a. Explain what the coefficient values 696.7 and 9.6 mean. b. The standard error of the regression (SER) is 624.1. What are the units of measurement for the SER? (Dollars? Years? Or is SER unit-free?) c. The regression R is 0.023. What are the units of measurement for the R (Dollars? Years? Or is R unit-free?) d. What does the regression predict will be the earnings for a 25-year-old worker? For a 45-ycar-old worker? e. Will the regression give reliable predictions for a 99-year-old worker? Why or why not? f. Given what you know about the distribution of earnings, do you think it is plausible that the distribution of errors in the regression is normal? (Hint: Do you think that the distribution is symmetric or skewed? What is the smallest value of earnings, and is it consistent with a normal distribution?)