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A multiple regression analysis to assess the effects of age and wage ($/hr) on productivity units produced the following output: Coefficient Standard Error t-stat p-value

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A multiple regression analysis to assess the effects of age and wage ($/hr) on productivity units produced the following output: Coefficient Standard Error t-stat p-value Intercept 23.004 4.765 4.828 0.0002 Age 1.769 0.548 3.228 0.0042 Wage -1.087 0.427 -2.545 0.0192 a) Estimate the productivity units for a 48-year-old earning $25/hr. Round to the nearest whole number. b) Which of the following best interprets the regression coefficient for Wage? O For each additional productivity unit, wage on average decreases by 1.087 assuming age is held constant. O For each additional year in age, wage on average decreases by -1.087 assuming productivity is held constant. O For each additional dollar in wage, productivity units on average decrease by 1.087 assuming age is held constant. O For each additional dollar in wage, age on average increases by 1.769 assuming productivity is held constant

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