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- 12.2 The manager of the I-85 Carpet outlet needs to be able to forecast accurately 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 carpets from one of the outlets many competitors. The manager has collected the following demand data for the past 8 months. Month 1 2 3 4 5 6 7 8 Demand for Soft Shag Carpet (1000 yd) 5 10 6 8 14 10 9 12 a. Compute a three-month moving average forecast for months 4 through 9.12.2. The manager of the I-85 Carpet Outlet needs to be able to forecast accurately 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 carpets from one of the outlet’s many competitors. The manager has collected the following demand data for the past eight months: Month Demand for Soft Shag Carpet (1000 yd)1 52 103 64 85 146 107 98 12 a. Compute a three-month moving average forecast for months 4 through 9. b. Compute a weighted three-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months in sequence, starting with…12.4. The chairperson of the department of management at Tech wants to forecast the number of students who will enroll in operations management next semester in order to determine how many sections to schedule. The chair has accumulated the following enrollment data for the past eight semesters: Students Enrolled Semester in OM 1 270 2 310 250 4 290 370 6. 410 7 400 8. 450 a. Compute a three-semester moving average forecast for semesters 4 through 9. b. Compute the exponentially smoothed forecast (a = .20) for the enrollment data. c. Compare the two forecasts using MAD and indicate the most accurate. 3.
- for the last week, daily high temperatures in st.louis were as follows: 93, 94, 93, 95, 96, 88 and 90. i. calculate the mean absolute deviation based on a 2-day moving average. ii. compute the mean squared error for the 2-day moving average. iii. calculate the mean absolute percent error fort he 2-day moving average.12.2. The manager of the I-85 Carpet Outlet needs to be able to forecast accurately 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 carpets from one of the outlet's many competitors. The manager has collected the following demand data for the past eight months: Demand for Soft Shag Carpet (1000 yd) Month ALE ni bno 1 10 6. 4. 8 14 6. 10 7 9. 8. 12 a. Compute a three-month moving average forecast for months 4 through 9. b. Compute a weighted three-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months in sequence, starting with the most recent month. c. Compare the two forecasts using MAD. Which forecast appears to be more accurate? 3.Daily high temperatures in St. Louis for the last week were as follows: 92, 94, 95, 92, 95, 86, 95 (yesterday). degrees (round your response to one decimal a) The high temperature for today using a 3-day moving average = [ place). b) The high temperature for today using a 2-day moving average = place). degrees (round your response to one decimal c) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimal place). d) The mean squared error for the 2-day moving average = degrees2 (round your response to one decimal place). e) The mean absolute percent error (MAPE) for the 2-day moving average=% (round your response to one decimal place). iev S
- FC.51 Madison Memorial Hopsital is considering purchasing a new ambulance. The decision will rest partly on the anticipated mileage to be driven this year (2023). The miles driven during the past eight years are as follows: Year Miles Driven 2015 2016 2017 2018 2019 2020 2021 2022 3,240 1,211 3,208 3,253 2,169 2,224 1,162 1,074 Using a 4-year moving average, what would be the forecast for the miles to be driven in 2023? (Display your answer to the nearest whole number.) Number Using a 4-year weighted moving average (with last year's weight as 0.5, two years previous as 0.2; three years previous as 0.2, and four years previous as 0.1) what is the forecast for 2023? (Display your answer to the nearest whole number.) NumberCalculate MSE for the 4 periods for which the actual and forecasted number of customers given in the table below: Forecasted Actual Number Period Number of Error of Customers Customers 1 1,975 2,000 2 2,050 2,025 3 1,925 1,975 4 2,075 2,025 390.63 37.5 6,250 True1,562.5Determine the hydraulic flux and the pressure head at the layer interface in a column consisting of a loamysand layer 35 cm thick overlying a sandyloam layer 30 cm thick. The saturated hydraulic conductivities of the loamysand and sandyloam layers are 3.87 cm h-1 and 7.59cm h-1, respectively. Water is ponded at the top of the column to a depth of 5 cm and allowed to drip from the bottom of the column. Use a diagram to represent the flow scenario i will 10ipvotes.
- Sarah has been custom manufacturing sweaters now for 7 years. Her annual sales are shown below. Year Sales 1 178 2 215 3 233 4 301 5 337 6 330 7 361 What are her forecasted sales for year 8 using a 3 year moving average? What are her forecasted sales for year 8 using a 5 year weighted average where w1=.4, w2=.3, w3=.15, w4=.1, w5=.05? What are her forecasted sales for year 8 using exponential smoothing? Assume year 7 forecast was 323. Select your own alpha. Which forecast method is the best for Sarah to use based on MAD? Why?1How can we monitor and control forecast in our interior designing business. Please provide with a relative example