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Part 1 of S A recent health crisis about two years ago caused many companies to have to lay off many of its employees. One company has done a study of its former employees to determine how different attributes of the employee may be related to the number of weeks they remained without a job. In the data file Layoffs [Google] , you will find data regarding this study. The variables are: Age: The age the employee at the time they were laid off, in years Education: Number of years of education Married: A "dummy variable." 1 = married, 0 = unmarried Years: The number of years the employee worked for the company before they were laid off . Management: A "dummy variable." 1 = they held a management position when they were laid off, 0 = they did not hold a management position when they were laid off . Engineering: A "dummy variable." 1 = they were an engineer with the company when they were laid off, 0 = they held a non-engineering position with the company when they were laid off . Weeks: The number of weeks the employee was jobless after being laid off A) Use the forward selection method (p-value to enter = 0.05) to identify the model produced with this method. Be sure to select all the possible independent variables so they are all considered. Check all variables that are included in the model: Engineering Management Age Education Years Married B) What is the p-value for that model? p= 0 . (Give four places. Enter 0 if p