regression analysis to forecast the point at which Swanson needs to “build out” the top two floors of the new building, namely when demand will exceed 16000 births
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- 5. Meg Jones, the CEO of Ajax Computer Company, and Brad Smith, its Director of Operations, had been discussing how to increase the firm’s production of the company’s flagship XR58. The XR58 was particularly important because it sold 12,500 of them in the most recent year for $950, at a gross margin of 55%. After a lot of discussion, they decided to pursue an incentive system designed to increase production by 12% in the next year. After Brad discussed this possible incentive with the production team, the team determined that it could increase production by this amount without adding any more people or equipment. They believed they could accomplish this improvement primarily through process redesign. To incent them to do the hard work of process improvement, Brad told the team that it would receive 25% of the increased profits if it met the new production goal. For this team of 20 people, this would mean an additional compensation of _________ for each team member, on average, for…3. The ore of a gold mine in the province contains, on average, 0.5 ounce of gold per ton. Method A ofprocessing costs 150Php/ton and recovers 93% of the gold, while Method B costs only 120Php/tonand recovers 81% of the gold. If gold can be sold at 1,200/ounce, which method is better and by howmuch?a. Method A, by 43Phpb. Method A, by 42Phpc. Method B, by 42Phpd. Method B, by 43Php e. None of the aboveQ. Jayram, GM (Sales) is finding it difficult to decide whom to choose for the position of sales executive in the Agro Business Division (ABD) of the steel company out of the following three candidates. ABD is manufacturer of shovels, sickles, hammers pickaxes and crowbars. The products serve the needs of agriculture, infrastructure as well as mining sectors. Recently, the company added garden tools in its product portfolio. To promote the garden tools, the company requires exceptional sales (executive) who will report to Jayaram. Jayaram recently interviewed Varsha who happens to be close relative of Jayaram. Since, Jayaram does not want to create an impression that he promotes nepotism, based on his advice Varsha took the proper route of submitting her CV to the HR division. Varsha impressed both GM (Sales) and Jayaram in interview with her knowledge and personality. She has 4 years sales experience in a cosmetic company with an impressive recommendation letter. The only concern…
- 4. Spears Rowbuck has recorded the following sales figures. Calculate the seasonal indices for Thursday and Friday. Week 1 Week 2 Week 3 Week 4 Monday 43 51 40 66.0 Tuesday 45 41 57 58.6 Wednesday 22 37 30 34.7 Thursday 25 22 33 36.7 Friday 31 25 37 25.0 a. Thursday = 29.18, Friday = 29.50 b. Thursday = 0.2074, Friday = 1.1632 c. None of the other options. d. Thursday = 0.7678, Friday = 0.7763 e. Thursday = 0.6142, Friday = 0.6211Problem 1Human visual inspection is necessary in many quality engineering contexts and is naturallysubject to subjectivity. This is especially true for the inspection of solder joints on circuit boards,as there are numerous types of solder defects, as well as a degree to which a joint possessesone or more defect. Consequently, even highly trained inspectors can disagree on the status ofa particular joint. In a batch of 10,000 such joints, inspector A found 724 to be defective,inspect B found 751 to be defective, and 1159 of the joints were judged to be defective by atleast one of the inspectors. Suppose that one of the 10,000 joints is randomly selected.a. What is the probability that the selected joint was judged to be defective by neither ofthe two inspectors?b. What is the probability that the selected joint was judged to be defective by inspector Bbut not by inspector A?Use the information below to answer question 2x + 3y + 3z = 2 4x – 3y – 6z = 2 10x – 6y + 3z = 0 1. Given values – 144, -192, and 96 for Dx, Dy, and Dz respectively and D = 144. Then the solution to the system for x, y and z are: A. -1, -1.33, and 0.67 B. -0.47, -0.63 and 0,30 C. 0.5, 0.67 and-0.33 D. 0.73, 0.98 and -0.49
- 03.08 how can we solve local problemsMacomb Inc. used Excel to run a least-squares regression analysis on the production cost data resulting in the following output: Regression StatisticsMultiple R 0.9834 R Square 0.9596 Observations 30 Coefficients Standard Error T Stat P-ValueIntercept 174,980 61,580 2.84 0.021 Production units (X) 11.53 0.9265 12.44 0.000 What total cost would Macomb predict for a month in which production is 2,000 units? Multiple Choice $174,900 $63,433 $198,040 $23,037Find the maximum and minimum values of f(x) = x3 − 6x2 + 8 on the horizontal span of 0 to 10.
- Management Science: XY Company manufactures and sells LCD monitor at P5000 each. The production officer reported the following: Sale price: P5000 per monitor direct materials cost: P1000 per unit direct labor cost: P550 per unit other overhead cost P950 per unit Fixed costs related to the production are also reported: salary of management: P200,000 rent for the factory: P150,000, other salaries: P140,000 depreciation of equipment: P12,000Compute the total variable costThe following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (a)Use ? = 0.4 to compute the exponential smoothing values for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (b)Use a smoothing constant of ? = 0.6 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 11056. Q&H Company advertises during soap operas andfootball games. Each soap opera ad costs $75,000,and each football game ad costs $130,000. If S soapopera ads are purchased, they will be seen by 4S1y2million men and 22S1y2 million women. If F footballads are purchased, they will be seen by 28F1y2 millionmen and 10F1y2 million women. The company wantsat least 60 million men and at least 50 million womento see its ads.a. Determine how to minimize Q&H’s cost ofreaching the required number of viewers.b. How does this model violate the proportionalityand additivity assumptions of LP?c. Suppose that the number of women (in millions)reached by F football ads and S soap opera ads is8F1y2 1 22S1y2 2 0.3(FS)1y2. Why might this bea more realistic representation of the number ofwomen viewers seeing Q&H’s ads?