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- Suppose that GLC earns a 2000 profit each time a person buys a car. We want to determine how the expected profit earned from a customer depends on the quality of GLCs cars. We assume a typical customer will purchase 10 cars during her lifetime. She will purchase a car now (year 1) and then purchase a car every five yearsduring year 6, year 11, and so on. For simplicity, we assume that Hundo is GLCs only competitor. We also assume that if the consumer is satisfied with the car she purchases, she will buy her next car from the same company, but if she is not satisfied, she will buy her next car from the other company. Hundo produces cars that satisfy 80% of its customers. Currently, GLC produces cars that also satisfy 80% of its customers. Consider a customer whose first car is a GLC car. If profits are discounted at 10% annually, use simulation to estimate the value of this customer to GLC. Also estimate the value of a customer to GLC if it can raise its customer satisfaction rating to 85%, to 90%, or to 95%. You can interpret the satisfaction value as the probability that a customer will not switch companies.The method for rating teams in Example 7.8 is based on actual and predicted point spreads. This method can be biased if some teams run up the score in a few games. An alternative possibility is to base the ratings only on wins and losses. For each game, you observe whether the home team wins. Then from the proposed ratings, you predict whether the home team will win. (You predict the home team will win if the home team advantage plus the home teams rating is greater than the visitor teams rating.) You want the ratings such that the number of predictions that match the actual outcomes is maximized. Try modeling this. Do you run into difficulties? (Remember that Solver doesnt like IF functions.) EXAMPLE 7.8 RATING NFL TEAMS9 We obtained the results of the 256 regular-season NFL games from the 2015 season (the 2016 season was still ongoing as we wrote this) and entered the data into a spreadsheet, shown at the bottom of Figure 7.38. See the file NFL Ratings Finished.xlsx. (Some of these results are hidden in Figure 7.38 to conserve space.) The teams are indexed 1 to 32, as shown at the top of the sheet. For example, team 1 is Arizona, team 2 is Atlanta, and so on. The first game entered (row 6) is team 19 New England versus team 25 Pittsburgh, played at New England. New England won the game by a score of 28 to 21, and the point spread (home team score minus visitor team score) is calculated in column J. A positive point spread in column J means that the home team won; a negative point spread indicates that the visiting team won. The goal is to determine a set of ratings for the 32 NFL teams that most accurately predicts the actual outcomes of the games played.You want to take out a 450,000 loan on a 20-year mortgage with end-of-month payments. The annual rate of interest is 3%. Twenty years from now, you will need to make a 50,000 ending balloon payment. Because you expect your income to increase, you want to structure the loan so at the beginning of each year, your monthly payments increase by 2%. a. Determine the amount of each years monthly payment. You should use a lookup table to look up each years monthly payment and to look up the year based on the month (e.g., month 13 is year 2, etc.). b. Suppose payment each month is to be the same, and there is no balloon payment. Show that the monthly payment you can calculate from your spreadsheet matches the value given by the Excel PMT function PMT(0.03/12,240, 450000,0,0).
- For f(x) = 3 + 7x − 19x^2 + 2x^4, use complete Horner’s algorithm to find (a) the Maclaurin series (Taylor series about x = 0) (b) the Taylor series for this function about x = 2.Graph the feasible region for the system of inequalities. 4x+y≤3 x-y>3Graph the feasible region for the system of inequalities. 5x+y< -3 x-y > 3
- The Elon Company manufactures parts for an aircraft company using three computerized numerical controlled (CNC)turning centers. The company wants to decide whichmachines are capable of producing a specific part withxdesign specifications of 0.0970 inch 0.015 inch. Themachines have the following process parameters—machine1 ( 0.0995, 0.004); machine 2 ( 0.1002, 0.009); machine 3 ( 0.095, 0.005). Determinewhich machines (if any) are capable of producing the products within the design specificationsWhat would the formula be for Cells B9 and C9 be to populate 0? Or is it just left blank?It is thought that prehistoric Indians did not take their best tools, pottery, and household items when they visited higher elevations for their summer camps. It is hypothesized that archaeological sites tend to lose their cultural identity and specific cultural affiliation as the elevation of the site increases. Let x be the elevation (in thousands of feet) for an archaeological site in the southwestern United States. Let y be the percentage of unidentified artifacts (no specific cultural affiliation) at a given elevation. Suppose that the following data were obtained for a collection of archaeological sites in New Mexico: x 5.00 6.00 6.75 7.00 7.50 y 3 57 75 71 71 What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? Round your answer to the nearest tenth of a percent. a.81.9% b.0.9% c.90.5% d.3.3%
- A small manufacturing firm collected the following data on advertising expenditures A (in thousands of dollars) and total revenue R (in thousands of dollars). (a) Draw a scatter diagram of the data. Comment on the type of relation that may exist between the two variables.(b) The quadratic function of best fit to these data isR(A) = - 7.76A2 + 411.88A + 942.72Use this function to determine the optimal level of advertising.(c) Use the function to predict the total revenue when the optimal level of advertising is spent.(d) Use a graphing utility to verify that the function given in part (b) is the quadratic function of best fit.(e) Use a graphing utility to draw a scatter diagram of the data and then graph the quadratic function of best fit on the scatter diagram.Use the simplex method to maximize the given function. Assume all variables are nonnegative.Maximize f = 3x + 22y subject to 14x + 7y ≤ 35 5x + 5y ≤ 50 (x,y)= f=Sometimes we wish to analyze the effect of changing a parameter over a wide range of values. Performing changes over a wide range is known as parametric analysis. This can be accomplished by using the sensitivity analysis to establish the range above and below the current value, and then changing the current value to a number outside the current range to find a new range for this parameter. For example, consider the following model: minimize 5X1 + 8X2 subject to (1) 2X1 + 5X2 ≥ 910 (2) 4X1 + 3X2 ≥ 1092 (3) X1 + 9X2 ≥ 819 X1 , X2 ≥ 0 (a) Solve this model graphically. (b) From the graph, perform a sensitivity analysis on b2, the rhs