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, there is sufficient evidence that age has an effect on the number of weeks a worker is unemployed due to a layoff while holding constant the effect of the other independent variable at a 10% level of significance.

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, there is sufficient evidence that age has an effect on the number of weeks a worker is unemployed due to a layoff while holding constant the effect of the other independent variable at a 10% level of significance.

Quizplus · Accepted Answer

The regression analysis results suggest that age has a significant effect on the number of weeks a worker is unemployed due to a layoff, holding constant the effect of the other independent variable at a 10% level of significance. Since the p-value for the coefficient of Age is less than 0.1, we can reject the null hypothesis and conclude that there is sufficient evidence that age has an effect on the number of weeks a worker is unemployed due to a layoff while holding constant the effect of the other independent variable (Manager position).

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