SCENARIO 18-10 Given Below Are Results from the Regression Analysis

question 153

True/False

SCENARIO 18-10 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), the number of years of education received (Edu), the number of years at the previous job (Job Yr), a dummy variable for marital status (Married: 1 = married, 0 = otherwise), a dummy variable for head of household (Head: 1 = yes, 0 = no)and a dummy variable for management position (Manager: 1 = yes, 0 = no).We shall call this Model 1.The coefficient of partial determination of each of the 6 predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager.The results of the regression analysis are given below:
-Referring to Scenario 18-10 Model 1, we can conclude that, holding constant the effect of the other independent variables, the number of years of education received has no impact on the mean number of weeks a worker is unemployed due to a layoff at a 1% level of significance if all we have is the information of the 95% confidence interval estimate for .

---

Definitions:

Class Divisions

Class divisions refer to the social and economic distinctions between groups in society, often based on wealth, occupation, and access to resources, leading to differing social statuses and opportunities.

U.S. Unions

Labor organizations in the United States that represent the collective interests of workers in negotiations with employers over workplace issues.

Capitalistic Class

A social class comprising individuals and families that own capital, investments, or businesses, and derive their income from their investments or business operations.

Means of Production

Refers to the physical and non-physical inputs used in the production of goods and services, including factories, machinery, and capital.