# Question

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.

e. Use the best-subsets regression procedure to develop the best estimated regression equation.

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.

e. Use the best-subsets regression procedure to develop the best estimated regression equation.

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