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, we can conclude definitively that, holding constant the effect of the other independent variable, age has an impact on the mean number of weeks a worker is unemployed due to a layoff at a 10% level of significance if all we have is the information of the 95% confidence interval estimate for the effect of a one year increase in age on the mean number of weeks a worker is unemployed due to a layoff.

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, we can conclude definitively that, holding constant the effect of the other independent variable, age has an impact on the mean number of weeks a worker is unemployed due to a layoff at a 10% level of significance if all we have is the information of the 95% confidence interval estimate for the effect of a one year increase in age on the mean number of weeks a worker is unemployed due to a layoff.

Quizplus · Accepted Answer

Since the confidence interval estimate does not include zero and the significance level is 10%, we can conclude that age has a significant impact on the mean number of weeks a worker is unemployed due to a layoff. Since the confidence interval estimate for the effect of a one year increase in age on the mean number of weeks a worker is unemployed due to a layoff does not include zero and the level of significance is 10%, we can conclude that age has a significant impact on the mean number of weeks a worker is unemployed due to a layoff, holding constant the effect of the other independent variable.

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