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TABLE 14-17 Model 2 Is the Regression Analysis Where the Dependent Variable

Question 243

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TABLE 14-17 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 Table 14-17 Model 1, which of the following is a correct statement? A) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager. B) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the number of predictors and sample size. C) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the level of significance D) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, holding constant the effect of all the independent variables.

TABLE 14-17
TABLE 14-17 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 Table 14-17 Model 1, which of the following is a correct statement? A) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager. B) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the number of predictors and sample size. C) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the level of significance D) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, holding constant the effect of all the independent variables.
TABLE 14-17 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 Table 14-17 Model 1, which of the following is a correct statement? A) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager. B) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the number of predictors and sample size. C) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the level of significance D) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, holding constant the effect of all the 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:
TABLE 14-17 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 Table 14-17 Model 1, which of the following is a correct statement? A) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager. B) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the number of predictors and sample size. C) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the level of significance D) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, holding constant the effect of all the independent variables.
-Referring to Table 14-17 Model 1, which of the following is a correct statement?


A) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager.
B) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the number of predictors and sample size.
C) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, after adjusting for the level of significance
D) 40.30% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker, the number of years of education received, the number of years at the previous job, marital status, whether the worker is the head of household and whether the worker is a manager, holding constant the effect of all the independent variables.

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