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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, which of the following is the correct null hypothesis to test whether being married or not makes a difference in the mean number of weeks a worker is unemployed due to a layoff while holding constant the effect of all the other independent variables?
Increase
An upward change or growth in value, quantity, or size.
Demand Curve
A graph showing the relationship between the price of a good and the quantity demanded at those prices, typically downward sloping.
Demand
The quantity of a good or service that consumers are willing and able to purchase at various prices during a specified period.
Shifts
Refers to changes in the position of demand or supply curves in economic models, often due to changes in external factors such as technology, preferences, or policy.
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