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TABLE 15-6 Given Below Are Results from the Regression Analysis on 40

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TABLE 15-6
Given below are results from the regression analysis on 40 observations where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Y)and the independent variables are the age of the worker (X1),the number of years of education received (X2),the number of years at the previous job (X3),a dummy variable for marital status (X4: 1 = married,0 = otherwise),a dummy variable for head of household (X5: 1 = yes,0 = no)and a dummy variable for management position (X6: 1 = yes,0 = no).
The coefficient of multiple determination ( TABLE 15-6 Given below are results from the regression analysis on 40 observations where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Y)and the independent variables are the age of the worker (X<sub>1</sub>),the number of years of education received (X<sub>2</sub>),the number of years at the previous job (X<sub>3</sub>),a dummy variable for marital status (X<sub>4</sub>: 1 = married,0 = otherwise),a dummy variable for head of household (X<sub>5</sub>: 1 = yes,0 = no)and a dummy variable for management position (X<sub>6</sub>: 1 = yes,0 = no). The coefficient of multiple determination ( )for the regression model using each of the 6 variables X<sub>j</sub> as the dependent variable and all other X variables as independent variables are,respectively,0.2628,0.1240,0.2404,0.3510,0.3342 and 0.0993. The partial results from best-subset regression are given below: -True or False: Referring to Table 15-6,the variable X<sub>4 </sub>should be dropped to remove collinearity. )for the regression model using each of the 6 variables Xj as the dependent variable and all other X variables as independent variables are,respectively,0.2628,0.1240,0.2404,0.3510,0.3342 and 0.0993.
The partial results from best-subset regression are given below: TABLE 15-6 Given below are results from the regression analysis on 40 observations where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Y)and the independent variables are the age of the worker (X<sub>1</sub>),the number of years of education received (X<sub>2</sub>),the number of years at the previous job (X<sub>3</sub>),a dummy variable for marital status (X<sub>4</sub>: 1 = married,0 = otherwise),a dummy variable for head of household (X<sub>5</sub>: 1 = yes,0 = no)and a dummy variable for management position (X<sub>6</sub>: 1 = yes,0 = no). The coefficient of multiple determination ( )for the regression model using each of the 6 variables X<sub>j</sub> as the dependent variable and all other X variables as independent variables are,respectively,0.2628,0.1240,0.2404,0.3510,0.3342 and 0.0993. The partial results from best-subset regression are given below: -True or False: Referring to Table 15-6,the variable X<sub>4 </sub>should be dropped to remove collinearity.
-True or False: Referring to Table 15-6,the variable X4 should be dropped to remove collinearity.

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