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(Solved): Monthly Overhead Costs and Billable Hours Data a. Develop a simple linear regression model betwee ...



Monthly Overhead Costs and Billable Hours Dataa. Develop a simple linear regression model between billable hours and overhead costs.
Overhead Costs \( =+(\mid \times \) BiInterpret the coefficient of billable hours, \( b_{1} \), if appropriate. Choose the correct answer below.
A. The value of \(

Monthly Overhead Costs and Billable Hours Data a. Develop a simple linear regression model between billable hours and overhead costs. Overhead Costs Billable Hours (Round the constant to one decimal place as needed. Round the coefficient to four decimal places as needed. Do not include the symbol in your answers.) b. Interpret the coefficients of your regression model. Specifically, what does the fixed component of the model mean to the consulting firm? Interpret the fixed term, , if appropriate. Choose the correct answer below. A. It is not appropriate to interpret , because its value is the predicted overhead costs for 0 billable hours, but someone with 0 billable hours would not actually be a client of the firm. B. For each increase of 1 unit in billable hours, the predicted overhead costs are estimated to increase by . C. The value of is the predicted billable hours for an overhead cost of 0 dollars. D. It is not appropriate to interpret , because its value is the predicted billable hours for overhead costs of 0 dollars, but the firm cannot have overhead costs of 0 dollars associated with a client. E. For each increase of 1 unit in overhead costs, the predicted billable hours are estimated to increase by . F. The value of is the predicted overhead costs for 0 billable hours. Interpret the coefficient of billable hours, , if appropriate. Choose the correct answer below. A. The value of is the predicted overhead costs for 0 billable hours. B. It is not appropriate to interpret , because its value is the predicted billable hours for overhead costs of 0 dollars, but the firm cannot have overhead costs of 0 dollars associated with a client. C. For each increase of 1 unit in overhead costs, the predicted billable hours are estimated to increase by . D. For each increase of 1 unit in billable hours, the predicted overhead costs are estimated to increase by . E. It is not appropriate to interpret , because its value is the predicted overhead costs for 0 billable hours, but someone with 0 billable hours would not actually be a client of the firm. F. The value of is the predicted billable hours for an overhead cost of 0 dollars. c. If a special job was available requiring 4,500 billable hours that would contribute a margin of before overhead, would the job be attractive? Since the predicted overhead costs of a client with 4,500 billable hours would be , which is the margin of before overhead, the iob be attractive.


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Answer:From the given data a) The Regression Equation is
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