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TABLE 15-6
Given below are results from the regression analysis on 40 observations where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Y) and the independent variables are the age of the worker (X₁), the number of years of education received (X₂), the number of years at the previous job (X₃), a dummy variable for marital status (X₄: 1 = married, 0 = otherwise), a dummy variable for head of household (X₅: 1 = yes, 0 = no) and a dummy variable for management position (X₆: 1 = yes, 0 = no).
The coefficient of multiple determination (R) for the regression model using each of the 6 variables Xⱼ as the dependent variable and all other X variables as independent variables are, respectively, 0.2628, 0.1240, 0.2404, 0.3510, 0.3342 and 0.0993.
The partial results from best-subset regression are given below:
-Referring to Table 15-6, the variable X₁ should be dropped to remove collinearity.
Stable Demand
A market condition where the desire for a product or service remains constant over a period of time.
Forecast
A prediction or estimate of future events or conditions based on available data or trends.
Supply Chain
The network of all the individuals, organizations, resources, activities, and technology involved in the creation and sale of a product, from the delivery of source materials from the supplier to the manufacturer, and eventually to the end user.
Distortion
Alteration or warping of information, perception, or reality, often leading to misunderstanding or misinterpretation.
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