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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,which of the following is the correct null hypothesis to determine whether there is a significant relationship between the number of weeks a worker is unemployed due to a layoff and the entire set of explanatory variables? A) H<sub>0</sub> : β<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 B) 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 C) H<sub>0</sub> : β<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> D) 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> ) 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,which of the following is the correct null hypothesis to determine whether there is a significant relationship between the number of weeks a worker is unemployed due to a layoff and the entire set of explanatory variables? A) H<sub>0</sub> : β<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 B) 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 C) H<sub>0</sub> : β<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> D) 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> 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,which of the following is the correct null hypothesis to determine whether there is a significant relationship between the number of weeks a worker is unemployed due to a layoff and the entire set of explanatory variables? A) H<sub>0</sub> : β<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 B) 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 C) H<sub>0</sub> : β<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> D) 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>
-Referring to Table 17-10,Model 1,which of the following is the correct null hypothesis to determine whether there is a significant relationship between the number of weeks a worker is unemployed due to a layoff and the entire set of explanatory variables?


A) H0 : β0 = β1 = β2= β3 = β4 = β5 = β6 = 0
B) H0 : β1 = β2= β3 = β4 = β5 = β6 = 0
C) H0 : β0 = β1 = β2= β3 = β4 = β5 = β6
D) H0 : β1 = β2= β3 = β4 = β5 = β6

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