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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, you 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 5% level of significance if we use only the information of the 95% confidence interval estimate for 2 .
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A state wherein a person’s limbs and posture can be “moulded” into different positions as if the person were made of wax. Occasionally seen in schizophrenia.
Catatonic Posturing
A symptom of certain mental conditions where a person maintains unusual, fixed body positions for a long time.
Echopraxia
The involuntary repetition or imitation of another person's actions.
Affective Flattening
A significant reduction in the range and intensity of emotional expression, including facial expressions, voice tone, and gestures.
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