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bachelor in business administration
Polytechnic State University Sanluis
Jan-2006 - Nov-2010
CPA
Polytechnic State University
Jan-2012 - Nov-2016
Professor
Harvard Square Academy (HS2)
Mar-2012 - Present
In a production facility, an accurate estimate of man hours needed to complete a task is crucial to management in making such decisions as the proper number of workers to hire, an accurate deadline to quote a client, or cost-analysis decisions regarding budgets. A manufacturer of boiler drums wants to use regression to predict the number of man-hours needed to erect the drums in future projects. To accomplish this, data for 35 boilers were collected. In addition to man-hours (y), the variables measured were boiler capacity (x1Â = Ib/hr), boiler design pressure (x2Â = pounds per square inch or psi), boiler type (x3Â = 1 if industry field erected, 0 if utility field erected), and drum type (x4Â = 1 if steam, 0 if mud). The data are provided in the table on page 598. A MINITAB printout for the modelÂ
  is shown on page 597
a. Conduct a test for the global utility of the model. Use a = .01
b. Both a 95% confidence interval for E(y) and a 95% prediction interval for y when x1Â = 150,000, x2Â = 500, x3Â = 1 and x4Â = 0 are shown at the bottom of the MINITAB printout. Interpret both of these intervals.


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