A study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (Weeks) was definedas the number of weeks a worker has been jobless due to a layoff. The following independent variables were used in the study.Age The age of the workerEduc The number of years of educationMarried A dummy variable; 1 if married, 0 otherwiseHead A dummy variable; 1 if the head of household, 0 otherwiseTenure The number of years on the previous jobManager A dummy variable; 1 if management occupation, 0 otherwiseSales A dummy variable; 1 if sales occupation, 0 otherwiseThe data are available in the file named Layoffs.a. Develop the best one-variable estimated regression equation.b. Use the stepwise procedure to develop the best estimated regression equation. Usevalues of .05 for Alpha to enter and Alpha to remove.c. Use the forward selection procedure to develop the best estimated regression equation.Use a value of .05 for Alpha to enter.d. Use the backward elimination procedure to develop the best estimated regressionequation. Use a value of .05 for Alpha to remove.
A study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (Weeks) was defined
as the number of weeks a worker has been jobless due to a layoff. The following independent variables were used in the study.
Age The age of the worker
Educ The number of years of education
Married A dummy variable; 1 if married, 0 otherwise
Head A dummy variable; 1 if the head of household, 0 otherwise
Tenure The number of years on the previous job
Manager A dummy variable; 1 if management occupation, 0 otherwise
Sales A dummy variable; 1 if sales occupation, 0 otherwise
The data are available in the file named Layoffs.
a. Develop the best one-variable estimated regression equation.
b. Use the stepwise procedure to develop the best estimated regression equation. Use
values of .05 for Alpha to enter and Alpha to remove.
c. Use the forward selection procedure to develop the best estimated regression equation.
Use a value of .05 for Alpha to enter.
d. Use the backward elimination procedure to develop the best estimated regression
equation. Use a value of .05 for Alpha to remove.
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