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SCENARIO 18-10 Given Below Are Results from the Regression Analysis

question 47

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SCENARIO 18-10 Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age of the worker (Age) , the number of years of education received (Edu) , the number of years at the previous job (Job Yr) , a dummy variable for marital status (Married: 1 = married, 0 = otherwise) , a dummy variable for head of household (Head: 1 = yes, 0 = no) and a dummy variable for management position (Manager: 1 = yes, 0 = no) .We shall call this Model 1.The coefficient of partial determination SCENARIO 18-10 Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age of the worker (Age) , the number of years of education received (Edu) , the number of years at the previous job (Job Yr) , a dummy variable for marital status (Married: 1 = married, 0 = otherwise) , a dummy variable for head of household (Head: 1 = yes, 0 = no) and a dummy variable for management position (Manager: 1 = yes, 0 = no) .We shall call this Model 1.The coefficient of partial determination of each of the 6 predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager.The results of the regression analysis are given below: -Referring to Scenario 18-10 Model 1, which of the following is a correct statement? A) On average, a worker who is a year older is estimated to stay jobless longer by approximately 32.66 weeks while holding constant the effects of all the remaining Independent variables. B) On average, a worker who is a year older is estimated to stay jobless longer by approximately 1.29 weeks while holding constant the effects of all the remaining Independent variables. C) On average, a worker who is a year older is estimated to stay jobless shorter by approximately 1.35 weeks while holding constant the effects of all the remaining Independent variables. D) On average, a worker who is a year older is estimated to stay jobless longer by approximately 0.62 weeks while holding constant the effects of all the remaining Independent variables. of each of the 6 predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. SCENARIO 18-10 Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age of the worker (Age) , the number of years of education received (Edu) , the number of years at the previous job (Job Yr) , a dummy variable for marital status (Married: 1 = married, 0 = otherwise) , a dummy variable for head of household (Head: 1 = yes, 0 = no) and a dummy variable for management position (Manager: 1 = yes, 0 = no) .We shall call this Model 1.The coefficient of partial determination of each of the 6 predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager.The results of the regression analysis are given below: -Referring to Scenario 18-10 Model 1, which of the following is a correct statement? A) On average, a worker who is a year older is estimated to stay jobless longer by approximately 32.66 weeks while holding constant the effects of all the remaining Independent variables. B) On average, a worker who is a year older is estimated to stay jobless longer by approximately 1.29 weeks while holding constant the effects of all the remaining Independent variables. C) On average, a worker who is a year older is estimated to stay jobless shorter by approximately 1.35 weeks while holding constant the effects of all the remaining Independent variables. D) On average, a worker who is a year older is estimated to stay jobless longer by approximately 0.62 weeks while holding constant the effects of all the remaining Independent variables. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager.The results of the regression analysis are given below: SCENARIO 18-10 Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age of the worker (Age) , the number of years of education received (Edu) , the number of years at the previous job (Job Yr) , a dummy variable for marital status (Married: 1 = married, 0 = otherwise) , a dummy variable for head of household (Head: 1 = yes, 0 = no) and a dummy variable for management position (Manager: 1 = yes, 0 = no) .We shall call this Model 1.The coefficient of partial determination of each of the 6 predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager.The results of the regression analysis are given below: -Referring to Scenario 18-10 Model 1, which of the following is a correct statement? A) On average, a worker who is a year older is estimated to stay jobless longer by approximately 32.66 weeks while holding constant the effects of all the remaining Independent variables. B) On average, a worker who is a year older is estimated to stay jobless longer by approximately 1.29 weeks while holding constant the effects of all the remaining Independent variables. C) On average, a worker who is a year older is estimated to stay jobless shorter by approximately 1.35 weeks while holding constant the effects of all the remaining Independent variables. D) On average, a worker who is a year older is estimated to stay jobless longer by approximately 0.62 weeks while holding constant the effects of all the remaining Independent variables. SCENARIO 18-10 Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age of the worker (Age) , the number of years of education received (Edu) , the number of years at the previous job (Job Yr) , a dummy variable for marital status (Married: 1 = married, 0 = otherwise) , a dummy variable for head of household (Head: 1 = yes, 0 = no) and a dummy variable for management position (Manager: 1 = yes, 0 = no) .We shall call this Model 1.The coefficient of partial determination of each of the 6 predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager.The results of the regression analysis are given below: -Referring to Scenario 18-10 Model 1, which of the following is a correct statement? A) On average, a worker who is a year older is estimated to stay jobless longer by approximately 32.66 weeks while holding constant the effects of all the remaining Independent variables. B) On average, a worker who is a year older is estimated to stay jobless longer by approximately 1.29 weeks while holding constant the effects of all the remaining Independent variables. C) On average, a worker who is a year older is estimated to stay jobless shorter by approximately 1.35 weeks while holding constant the effects of all the remaining Independent variables. D) On average, a worker who is a year older is estimated to stay jobless longer by approximately 0.62 weeks while holding constant the effects of all the remaining Independent variables.
-Referring to Scenario 18-10 Model 1, which of the following is a correct statement?

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A generic term often used to refer to any product, especially a hypothetical one used for economic or teaching purposes.

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