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- 1- A pharmacist has been monitoring sales of certain over-the-counter pain reliever. Daily sales during the last 15 days were as follows: Day 1 2 3 4 7 8 9 Number sold 36 38 42 44 48 49 50 49 52 Day 10 11 12 13 14 15 Number sold 48 52 55 54 56 57 a: By using linear regression method predict the future sales for the next 5 days (please do all calculations in excel and send the excel file with answers included as your response) b: calculate the MSE for the prediction of these 15 days. (again by using Excel) 1- Explain how QFD can be employed for designing a new restaurant in your region in Iraq? (at least 100 words) 2- A producer of inkjet printers is planning to add a new production line of printers, and you have been asked to balance the process, given the following task times and precedence relationships. Assume the cycle time is to be minimum possible (based on the bottleneck). Immediate Length (minutes) Task (Predecessor) a 0.2 b 0.4 a 0.3 d 1.3 b, c e 0.1 f 0.8 e g 0.3 d, f 1.2 g a…Sales over the past 10 years are shown below. Using the method of least squares, calculate the values of a and b to complete this regression equation. Year Sales 1 1,640 2 1,850 3 1,240 4 1,250 5 1,980 6 1,400 7 1,060 8 1,430 9 1,050 10 1,990 (Indicate a negative answer using a "-" sign. Do not round intermediate calculations and round your answer to 3 decimal places.) What is your forecast for next year's sales? (Do not round intermediate calculations and round your answer to 2 decimal places.)The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows Year Mileage 1 3,100 2 4,000 3 3,450 4 3,850 5 3,750 a) Using a 2-year moving average, the forecast for year 6 = 3800 miles (round your response to the nearest whole number). b) If a 2-year moving average is used to make the forecast, the MAD based on this = 108.3 miles (round your response to one decimal place). (Hint. You will have only 3 years of matched data.) c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.40 and 0.60 (the weight of 0.60 is for the most recent period) = miles (round your response to the nearest whole number)
- The following table shows the actual demand observed over the last 11 years: Year 1 2 3 4 5 6 7 8 9 10 11 Demand 7 9 6 10 12 7 12 12 9 9 8 Part 2 Using exponential smoothing with α = 0.30 and a forecast for year 1 of 6.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Part 3 Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as whole numbers).Income at the law firm of Smith and Jones for the period February to July was as follows: Month February March April May June July Income (in $ thousand) 90.0 91.5 96.0 85.4 92.2 96.0 Assume that the initial forecast for February is $85,000 and the initial trend adjustment is 0. The smoothing constants selected are a = 0.1 and ß = 0.2. Using trend-adjusted exponential smoothing, the forecast for the law firm's August income =O thousand dollars (round your response to two decimal places).The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: YEAR CASES OFMERLOT WINE 2005 321 2006 407 2007 449 2008 507 2009 409 2010 551 2011 461 2012 427 Using an exponential smoothing model with an alpha value of 0.30, estimate the smoothed value calculated as of the end of 2012. Use the average demand for 2005 through 2007 as your initial forecast for 2008, and then smooth the forecast forward to 2012.
- Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fok has seen each year for the past 10 years. It also indicates what the robbery rate was in New Orleans during the same year: Year Number of Patients Robbery Rate per 1,000 Population The simple linear regression equation that shows the best relationship between the number of patients and year is (round your responses to three decimal places): where y Dependent Variable and x = Independent Variable. culator Ask my instructor 3 A 8.0 F3 $ 4 898 F4 % 5 FS 6 2 1 36 33 57.8 61.4 F6 MacBook Air of A 3 40 73.4 7 F7 4 40 75.7 * 8 5 6 7 8 9 10 54 59 42 55 60 60 81.5 88.6 99.6 95.4 104.1 115.6 DII FB ( 9 DD F9 O F10 Clear all F11 - Check answer + 30 (49) F12 = deleteMark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following table: Maroon 5 TV Appearances 3 4 8 6 7 7 Demand for Guitars 4 6 7 5 10 6 This exercise contains only parts b, c, and d. Part 2 b) Using the least-squares regression method, the equation for forecasting is (round your responses to four decimal places): Y = enter your response here + enter your response herexA company wants to forecast demand using the weighted moving average. If the company uses three prior yearly sales values (i.e., the year 2014 = 155, the year 2015 = 140 and year 2016 = 170), and we want to weight the year 2014 at 30%, the year 2015 at 35% and year 2016 at 40%, which of the following is the weighted moving average forecast for the year 2017? 170 158 O 164 O 160
- Using linear regression analysis, what would you estimate demand to be for each month next year? Month Forecast January February March April May June July August September October November DecemberHello: I am trying to fine-tune this question in quotes below to become a qualitative response variable but seems a pretty difficult one: "How do we model phenomena of sales quantity purchased from the pharmacy stores such as the pharmacy numbers that have the greatest number of basket sales in a given year, and dates (that is, days of the week) that have the greatest number of basket sales per year? Does the location such as States or Zip codes as well as weather conditions have any influence on the sales?" Please AdviseThe manager of the Carpet City outlet needs to make an accurate forecast of the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpet from one of Carpet City's many competitors. The manager has collected the following demand data for the past 8 months: Demand for Soft Shag Month Carpet (1,000 yd.) 1 8 2 12 3 7 4 9 5 15 6 11 7 10 8 12 Compute the exponentially smoothed forecast (a = .20) for the given data. Compute an adjusted exponentially smoothed forecast (with a = .20 and β = .20) for the given data
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