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

In the regression results, age has a significant coefficient with a p-value of 0.002, which is less than the 10% level of significance. This indicates 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 (managerial position). Therefore, the statement is true.

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