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

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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, there is sufficient evidence that being married or not makes a difference in the mean number of weeks a worker is unemployed due to a layoff while holding constant the effect of all the other independent variables at a 10% level of significance.
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, there is sufficient evidence that being married or not makes a difference in the mean number of weeks a worker is unemployed due to a layoff while holding constant the effect of all the other independent variables at a 10% level of significance.
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, there is sufficient evidence that being married or not makes a difference in the mean number of weeks a worker is unemployed due to a layoff while holding constant the effect of all the other independent variables at a 10% level of significance.
-Referring to Table 14-17 Model 1, there is sufficient evidence that being married or not makes a difference in the mean number of weeks a worker is unemployed due to a layoff while holding constant the effect of all the other independent variables at a 10% level of significance.


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