SCENARIO 14-17 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)and a dummy variable for management position (Manager: 1 = yes, 0 = no). The results of the regression analysis are given below:
-Referring to Scenario 14-17, which of the following is a correct statement?
A)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a Manager.
B)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a manager After adjusting for the number of predictors and sample size.
C)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a manager After adjusting for the level of significance
D)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a manager Holding constant the effect of all the independent variables.

Question

SCENARIO 14-17 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)and a dummy variable for management position (Manager: 1 = yes, 0 = no). The results of the regression analysis are given below: 
-Referring to Scenario 14-17, which of the following is a correct statement?
A)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a Manager. 
B)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a manager After adjusting for the number of predictors and sample size. 
C)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a manager After adjusting for the level of significance 
D)40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff can be explained by the age of the worker and whether the worker is a manager Holding constant the effect of all the independent variables.

Quizplus · Accepted Answer

The statement accurately reflects the interpretation of the coefficient of determination (R-squared) in the regression analysis, which indicates the percentage of variation in the dependent variable (Unemploy) that can be explained by the independent variables (Age and Manager). There is no mention of adjusting for predictors/sample size, level of significance, or holding constant the effect of independent variables in this particular statement. The statement correctly states that the age of the worker and whether the worker is a manager can explain 40.85% of the total variation in the number of weeks a worker is unemployed due to a layoff. The statement does not mention adjustment for the number of predictors, sample size, level of significance, or holding constant the effect of all independent variables.

SCENARIO 14-17 Given Below Are Results from the Regression Analysis