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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 ( )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:
-True or False: Referring to Table 15-6,the variable X2 should be dropped to remove collinearity.
Q16: Referring to Table 14-1,for these data,what is
Q24: Referring to Table 16-15,what are the simple
Q25: Referring to Table 15-6,what is the value
Q82: True or False: Referring to Table 15-3,suppose
Q106: Referring to Table 16-5,the number of arrivals
Q138: Referring to Table 16-13,what is the value
Q173: If a categorical independent variable contains 4
Q183: Referring to Table 14-12,if one is already
Q314: Referring to Table 14-4,what are the regression
Q323: Referring to Table 14-4,one individual in the