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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, the null hypothesis implies that the number of weeks a worker is unemployed due to a layoff is not affected by some of the explanatory variables.
Correlation
A numerical index reflecting how much two or more variables move in conjunction with one another.
Variables
Variables refer to characteristics or quantities that can vary or change among individuals or over time.
Central Tendency
A statistical measure that identifies a single value as representative of the middle or typical value of a dataset, commonly found using mean, median, or mode.
Variation
The occurrence of differences among individuals, groups, or populations, often leading to evolutionary change.
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