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Please explain the answers 9. Consider the following multiple linear regression equation: Weekly Salary = 2000 + 50 * Experience + 20 * Education (664.5)

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9. Consider the following multiple linear regression equation: Weekly Salary = 2000 + 50 * Experience + 20 * Education (664.5) (12.2) (4.2) Which of the following statements best describes the interpretation of the coefficient 20 in this regression model? a. That coefficient indicates the change in salary for a one-year increase in education : level, holding experience constant. . That coefficient indicates the percentage change in salary for a one-year increase in _ education level. ",/ That coefficient indicates the significance of the education level when predicting salary. d. Che coefficient indicates the importance of experience in predicting education. 10. Which of the following statements best distinguishes between real and nominal series in economics? a. Nominal series are adjusted for inflation, while real series are not. b. Real series reflect actual market values, while nominal series are adjusted for ~ .easonality. E , Wominal series are expressed in current prices, while real series are adjusted for changes " in purchasing power over time. d. Real series represent historical data, while nominal series are projections based on economic models. Entree: Total Recall Each question is worth the number of points indicated in brackets. 1. Suppose in France. the working-age population (aged 15 and above) is approximately 55 million. Of these, 30 million are employed. 2 million are unemploved but actively seeking work. and 23 million are not in the labor force due to reasons such as retirement. studying. or discouraged workers. Calculate the following labor market indicators for France: a. Labor Force Participation Rate (LFPR) [2 point'sl b. Employment-to-Population Ratio (EPR) [2| Unemployment Rate (UR) |21 : ~ - P Y - = i L T - = = i .- T - - - - 2. What is the Fundamental Theorem of Welfare Economics? Name two of the contexts, which your book terms market failures. when the FTWE does not hold. [6) - TR AR A o A 2 ~

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