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- Integrated Products Corporation (IPC) needs to estimate its PC sales for next year.The most recent six years of revenue data for the company’s line of XT PersonalComputers, and those of the industry, is found in the table below:Year XT PC Sales Revenue($’000,000)All Industry PC Sales Revenue($’000,000,000)1 2.4 4.62 5.9 8.63 15.5 10.74 27.8 14.85 35.9 18.56 38.1 19.4Required:A. Assuming that the sales data above are representative of sales expected nextyear, use time series regression analysis to forecast next year’s sales revenues(there is no seasonal effect).B. Perform a regression analysis between the annual sales revenues of XTPersonal Computers and all industry PC annual sales revenues. What is theforecast for next year’s sales revenue for XT Personal Computers if the estimateof next year’s industry PC sales revenues is $21.9 billion? C. Advise management at Integrated Products Corporation (IPC) which of the twosales estimates from parts A and B above they should use. Justify your…Integrated Products Corporation (IPC) needs to estimate its PC sales for next year.The most recent six years of revenue data for the company’s line of XT PersonalComputers, and those of the industry, is found in the table below:Year XT PC Sales Revenue($’000,000)All Industry PC Sales Revenue($’000,000,000)1 2.4 4.62 5.9 8.63 15.5 10.74 27.8 14.85 35.9 18.56 38.1 19.4Required:A. Assuming that the sales data above are representative of sales expected nextyear, use time series regression analysis to forecast next year’s sales revenues(there is no seasonal effect).B. Perform a regression analysis between the annual sales revenues of XTPersonal Computers and all industry PC annual sales revenues. What is theforecast for next year’s sales revenue for XT Personal Computers if the estimateof next year’s industry PC sales revenues is $21.9 billion?The following table represents sales data for milk (in hundred liters) sold by a grocery.Do the computations to fill out the table and answer the following questions:1. Using MAD as the criterion, which of the following models would you use for thegiven time series data? Why?A. Naïve approach;B. 5-month SMA model;C. WMA model with weights 0.1, 0.3, and 0.6; orD. ES model with α = 0.5 and a forecast of 3,500 liters in the first month.NOTE: In answering Item 1, mention the whole description of the model; i.e., not just“SMA model”, but “SMA model with n = ...”; not just “WMA model”, but “WMA modelwith weights ...”; not just “ES model”, but “ES model with α = ...”.2. Interpret the MAD of the most accurate among the forecasting models above.3. Based on your decision in Item 1, what should be the forecast for Month 11?
- Macomb 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 $23,037Integrated Products Corporation (IPC) needs to estimate its PC sales for next year.The most recent six years of revenue data for the company’s line of XT PersonalComputers, and those of the industry, is found in the table below: Year XT PC Sales Revenue($’000,000) All Industry PC Sales Revenue($’000,000,000) 1 2.4 4.6 2 5.9 8.6 3 15.5 10.7 4 27.8 14.8 5 35.9 18.5 6 38.1 19.4 Required:A. Assuming that the sales data above are representative of sales expected nextyear, use time series regression analysis to forecast next year’s sales revenues(there is no seasonal effect). B. Perform a regression analysis between the annual sales revenues of XTPersonal Computers and all industry PC annual sales revenues. What is theforecast for next year’s sales revenue for XT Personal Computers if the estimateof next year’s industry PC sales revenues is $21.9 billion?C. Advise management at Integrated Products Corporation (IPC) which of the twosales estimates from parts A and B above…Integrated Products Corporation (IPC) needs to estimate its PC sales for next year.The most recent six years of revenue data for the company’s line of XT PersonalComputers, and those of the industry, is found in the table below: Year XT PC Sales Revenue($’000,000) All Industry PC Sales Revenue($’000,000,000) 1 2.4 4.6 2 5.9 8.6 3 15.5 10.7 4 27.8 14.8 5 35.9 18.5 6 38.1 19.4 Required: A. Assuming that the sales data above are representative of sales expected nextyear, use time series regression analysis to forecast next year’s sales revenues(there is no seasonal effect).B. Perform a regression analysis between the annual sales revenues of XTPersonal Computers and all industry PC annual sales revenues. What is theforecast for next year’s sales revenue for XT Personal Computers if the estimateof next year’s industry PC sales revenues is $21.9 billion?
- Please show the steps by using the formula for each Salalah Methanol company management is considering three competing investment Projects Option1: Starting a unit in Sohar, Option 2: Starting a unit in Musandam and Option 3: Starting a unit in Muscat. The initialinvestment for all the projects are 11000 and the cost of capital is 4.05% Year Sohar Musandam Muscat 1 1100 2160 3225 2 3100 3260 4250 3 3800 4360 5475 4 4600 5460 6300 5 5100 6900 7000 Use the information below and help the management in choosing the most desirable Project using a. Payback period b. Discounted payback c. Net Present value d. Profitability Index. You have to suggest to the management which project to choose and why#28Even though independent gasoline stations have been having a difficult time, Susan Solomon hasbeen thinking about starting her own independent gasoline station. Susan’s problem is to decide howlarge her station should be. The annual returns will depend on both the size of her station and a numberof marketing factors related to the oil industry and demand for gasoline. After a careful analysis, Susandeveloped the following table: GOOD FAIR POORSIZE OF MARKET MARKET MARKETFIRST STATION ($) ($) ($)Small 50,000 20,000 –10,000Medium 80,000 30,000 –20,000Large 100,000 30,000 –40,000Very large 300,000 25,000 –160,000For example, if Susan constructs a…Chris LeBlanc estimates that if he does five hours of research using datathat will cost $175, there is a good chance that he can improve hisexpected return on a $10,000, one-year investment from 6% to 9%. Chrisfeels that he must earn at least $30 per hour on the time he devotes to hisresearch.a. Find the cost of Chris’s research.b. By how much (in dollars) will Chris’s return increase as a result ofthe research?c. On a strict economic basis, should Chris perform the proposed reserach?
- A)What would the model be if the minimum calories were 450? B)What happens to the model if the total Liquid value is 3? C)What happens in the model if the coefficient of the objective function of peanut butter is 8? D)What should be the coefficient of the objective function for the cracker to be the basic variable? None of above less than 5.50 less than 1.43 less than 7.76 less than 6.56 E)What is the objective function value? Please donot provide solution in image format and it should be in step by step format and provide solution asapA large CPA firm currently has 100 junior staffmembers and 20 partners. In the long run—say,20 years from now—the firm would like to consistof 130 junior staff members and 20 partners. During a given year, 10% of all partners and 30% ofall junior staff members leave the firm. The firmcan control the number of hires each year and thefraction of junior employees who are promoted topartner each year. Can you develop a personnelstrategy that would meet the CPA firm’s goals?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 cost