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SCENARIO 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 2j )for the regression model using each of the 6 variables X j 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 Scenario 15-6,the model that includes X1,X5 and X6 should be among the appropriate models using the Mallow's Cp statistic.
Younger Workers
Individuals in the workforce who are relatively young, often bringing fresh perspectives but facing unique challenges.
Absenteeism
refers to the habitual non-presence of an employee or student, which can negatively impact productivity and morale in a workplace or educational setting.
Technological Skills
The abilities and knowledge needed to effectively use technical tools, digital devices, and other technology-related systems.
Motivation Depletion
The reduction or exhaustion of an individual's motivation, making it harder to engage in or initiate actions towards goals.
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