Engineering Economy (17th Edition)
Engineering Economy (17th Edition)
17th Edition
ISBN: 9780134870069
Author: William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher: PEARSON
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Chapter 3, Problem 19P

For the data below (3.4 .3)

  1. a. Find the regression equation, y = b0 + b1x.
  2. b. If x = 170orders, how many shipments are expected?

Chapter 3, Problem 19P, For the data below (3.4 .3) a. Find the regression equation, y = b0 + b1x. b. If x = 170orders, how

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AD has estimated the following demand relationship for its product over the last four years, using monthly observations: ln Qt = 4.932- 1.238 ln Pt + 1.524 ln Yt-1 + 0.4865lnQt-1(2.54) (1.38) (3.65) (2.87)R2= 0.8738where Q = sales in units, P = price in Rs., Y is income in Rs,000, and the numbers in brackets are t-statistics.a. Interpret the above model.b. Make a sales forecast if price is Rs. 9, income last month was Rs. 25,000 and sales last month were 2,981 units.c. Make a sales forecast for the following month if there is no change in price or income.d. If price is increased by 5 per cent in general terms, estimate the effect on sales, stating any assumptions.
A large company in the communication and publishing industry has quantified the relationship between the price of one of its products and the demand for this product as Price=160−0.02×Demand for an annual printing of this particular product. The fixed costs per year​ (i.e., per ​printing)=​$47,000 and the variable cost per unit=​$40. What is the maximum profit that can be​ achieved? What is the unit price at this point of optimal​ demand? Demand is not expected to be more than 4,000 units per year. The maximum profit that can be achieved is ​$? ​(Round to the nearest​ dollar.) The unit price at the point of optimal demand is ​$? per unit. ​
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