On the graph beside, we see the residuals from applying the average forecasting method on 200 daily Google prices ending in 6 December 2015. Which of the following statement does not apply? A There is a trend in the residuals B There is autocorrelation in the residuals C The residuals are not autocorrelated D The average forecasting method does not capture all of the information in the data
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- A firm experienced the demand shown in the following table. *Unkown future value to be forecast Fill in the table by preparing forecasts based on a five-year moving average, a three-year moving average, and exponential smoothing (with a w=0.9 and a w=0.3). Note The exponential smoothing forecasts may be begun by assuming Y t+1=Yt. Using the forecasts from 2005 through 2009, compare the accuracy of each of the forecasting methods based on the RMSE criterion. Which forecast would you have used for 2010? Why?Campus Advising needs to allocate time this week for office appointments, so she needs te forecast the number of students who will seek appointments. The advisor has gathered th following time series data recently: Period Student Appointments 4 weeks ago 95 3 weeks ago 80 2 weeks ago 65 Last week 50 Answer the next two questions (questions 11 and 12), based on this information. 11. What is this week's forecast for student appointments using a three-week moving average? a) 80 b) 50 c) 52 d) 65 e) 78The demand of a product of a company is given below for the periods. Can we use Winter method for forecasting demands of the A following 3 periods? Why? If yes, apply it past 4. 6. Demand 27 31 40 31 35 45
- I Consider the demand for trading cards listed below. Month Demand Jan. 51,000 48,000 Feb. March 55,000 April May 58,000 66,000 June 69,000 80,000 July Aug. 95,000 Use Excel to prepare a forecast for September, October, and November using linear regression Print out the sheet of results, as well as a sheet containing the formulas that you used ( can be used to toggle between displaying values and displaying formulas or you can click on Formulas>Formula Auditing→Show Formulas.) and for the cars is 16.000Actual sales of TV's for the first six month in 2021 were as follows:January 60 February 80 March 42April 68 May 44 June 72 Use this information and determine in whole numbers: 1 The average actual monthly sales for that period 2 Trends: Reduce this average by 6% per month for the next three months 3 Simple Moving Average (SMA): make a forecast for July using a three months simple movingaverage. 4 Weighted Moving Average (WMA): make forecast for July, using a three months weightedmoving average where the weights are 0.5; 0.3 and 0.2 respectively.A company that produces video equipment, including videocameras and televisions, is attempting to forecast what newproducts and product innovations might be technologicallyfeasible and that customers might demand 10 years into thefuture. Speculate on what type of qualitative methods itmight use to develop this type of forecast.
- Use simple exponential smoothing with a = 0.3 to forecast bike sales for September through December. Assume that the forecast for September was 60 units. a) What will be the forecast for December? b) Calculate the MAD. Last saved 11:13:58 AM budy Questions Filter (25) Month September October November December F3 X C O Search P Bike Sales 54 72 60 ? YThe following is the data of recent refrigerator sales at a local Home Depot store. Month 1 2 3 4 5Actual Sales 95 100 80 90 ???Inputs will be exact numbers. What is the forecasted sales in month 5 using naive approach.Please use a 2-month simple moving average method to forecast sales in month 5.Please use a weighted moving average method, with weights of 0.6 one period ago, 0.3 two periods ago, and 0.1 three periods ago, to forecast sales in month 5.The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Jan Feb Mar AprMonth 1 2 3 4Number of Accidents 30 40 70 105 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): y = ? + ?x
- Use exponential smoothing with a smoothing constant of 0.3 to forecast the demand for fertilizer in year 12. Assume that last period's forecast for year 1 is 5,000 bags to begin the procedure. Bags are shown in 1,000's in table below. Year Demand (Bags) 6 3 4. 4. 5 10 6 8. 7 7 8 9 12 10 14 11 15 O A. 14.00 ОВ. 14.87 OC. 11.79 O D. 13.67 Click to select your answer. tUs I MacBook Air 80 F3 888 * ES F4 44 F7 F2 F6 F8 >) FIO F11 @ #3 24 4 & 2 6. 7 8 9. 0. W R Y U P. F G H %3D K C V N alt command command option * coDirector Very Busy needs to allocate time this week for office appointments, so he needs to forecast the number of employees who will seek appointments. The director has gathered the following time series data recently Period Employee Appointments 4 weeks ago 95 3 weeks ago 80 2 week ago 65 last week 504. Suppose we have a summary of forecasting techniques calculation results for Gundam Auto Sales Inc. (in the prior item) as follows: Mean Next Standard Period Error Forecasting Method Used Forecast (MSE) 1.3-period UnWMA 10.42 3.24 2.4-period UnWMA 10.38 3.51 3.3-period WMA 10.83 3.03 4. Simple Exponential Smoothing 5. Trend Projection 8.24 5.04 11.43 1.16 a. Which among the techniques is the most reliable? b. What does the result of the most reliable technique say?