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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 the number of weeks a worker is unemployed due to a layoff depends on at least one of the explanatory 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 the number of weeks a worker is unemployed due to a layoff depends on at least one of the explanatory 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 the number of weeks a worker is unemployed due to a layoff depends on at least one of the explanatory variables at a 10% level of significance.
-Referring to Table 14-17 Model 1, there is sufficient evidence that the number of weeks a worker is unemployed due to a layoff depends on at least one of the explanatory variables at a 10% level of significance.


Definitions:

Average Service Time

The average duration needed to complete a particular service or process.

M/M/S

A queuing model notation representing a system with exponential service times, exponential interarrival times, and S servers.

Average Number

Represents the mean or central value of a set of numbers, calculated by dividing the sum of all the values by the number of values.

Poisson Distribution

A probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space.

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