TABLE 13-17 Given Below Are Results from the Regression Analysis Where the Where

question 133

True/False

TABLE 13-17
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), 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.


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 Table 13-17 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 β₂.

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Definitions:

Accumulated Depreciation

This represents the total amount of depreciation expense that has been charged against a fixed asset since it was put into use.

Salvage Value

The approximate salvage worth of an asset at its lifespan's conclusion.

Freight Charges

Freight charges are the costs incurred by a company for transporting goods, merchandise, or commodities from one place to another.

Straight-Line Basis

The straight-line basis is a method of calculating depreciation and amortization, dividing the cost of an asset evenly over its useful life.