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TABLE 17-10 Given Below Are Results from the Regression Analysis Where the Where

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TABLE 17-10
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 ( TABLE 17-10 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 Table 17-10,Model 1,the null hypothesis H<sub>0</sub> : β<sub>1</sub> = β<sub>2</sub>= β<sub>3</sub> = β<sub>4</sub> = β<sub>5</sub> = β<sub>6</sub> = 0 implies that the number of weeks a worker is unemployed due to a layoff is not related to any of the explanatory variables. )of each of the 6 predictors are,respectively,0.2807,0.0386,0.0317,0.0141,0.0958,and 0.1201. TABLE 17-10 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 Table 17-10,Model 1,the null hypothesis H<sub>0</sub> : β<sub>1</sub> = β<sub>2</sub>= β<sub>3</sub> = β<sub>4</sub> = β<sub>5</sub> = β<sub>6</sub> = 0 implies that the number of weeks a worker is unemployed due to a layoff is not related to any of the explanatory 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 17-10 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 Table 17-10,Model 1,the null hypothesis H<sub>0</sub> : β<sub>1</sub> = β<sub>2</sub>= β<sub>3</sub> = β<sub>4</sub> = β<sub>5</sub> = β<sub>6</sub> = 0 implies that the number of weeks a worker is unemployed due to a layoff is not related to any of the explanatory variables.
-Referring to Table 17-10,Model 1,the null hypothesis H0 : β1 = β2= β3 = β4 = β5 = β6 = 0 implies that the number of weeks a worker is unemployed due to a layoff is not related to any of the explanatory variables.


Definitions:

Half-Life

The time required for one half of the atoms of a radioactive substance to disintegrate into more stable materials.

Half-Life

The time required for half the quantity of a radioactive substance to undergo decay.

Half-Lives

The time required for half of the atoms in a radioactive sample to decay into other elements or isotopes.

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