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- 10:48 Done Chapter 3 Assignment i Help Save & Exit Submit Check my work mode: This shows what is correct or incorrect for the work you have completed so far. It does not indicate completion. 14 1.66 points Mc Graw Hill PGiven below are the demands of a certain product over the past 10 weeks. Week | 1 2 3 4 | 5 67|89 | 10 Demand 50 64 66 68 67 63 69 67 65 66 (a) Forecast the demand for the 13th week using the following techniques: i. 3- week weighted moving average with weights 0.2, 0.3, and 0.5 ii. Exponential smoothing with a smoothing constant equal to 0.85 ii. Adjusted exponential smoothing with a smoothing constant equal to 0.85 and smoothing constant for trend equal to 0.65 (b) Compute for the accuracy of each model using the mean squared error. Based on the computed MSE, what is the best forecasting technique for this time series?In Collaborative Planning, Forecasting and Replenishment (CPFR) the word collaboration encompasses?
- Type the correct answer in the box. Spell all words correctly. Peter is assisting with a report that will forecast sales for the next year. He has been asked to collate sales data for the previou different seasons. He understands that will help account for seasonal trends. What kind of sales forecast report is Peter workir Peter is working on a report to forecast sales. Reset Next ntum All rights reserved.Corporate triple-A bond interest rates for 12 consecutive months follow. Month 1 2 3 4 5 6 7 8 9 10 11 12 Value 9.5 9.3 9.4 9.6 9.8 9.7 9.8 10.5 9.9 9.7 9.6 9.6 a. Construct a time series plot. What type of pattern exists in the data? b. Develop the three-month moving averages for this time series. Compute MSE. c. Compute MAE. d. Compute MAPE. e. What is the three-month moving average forecast for the next month (month 13)?Ten weeks of data on the Commodity Futures Index are 7.36, 7.41, 7.56, 7.57, 7.61, 7.53, 7.53, 7.71, 7.63, and 7.56. (a) Construct a time series plot. 1 2 3 4 What type of pattern exists in the data? Week 5 The data appear to follow a horizontal pattern. O The data appear to follow a cyclical pattern. O The data appear to follow a trend pattern. O The data appear to follow a seasonal pattern. 6 8.5- 8.3 8.1 7.9+ 7 7.7 7.5- 8 7.3 7.1 6.9 6.7 6.5 + 01 23 4567 7 8 9 10 11 Week 9 8.5- 8.3- 10 8.1 7.9 7.7+ 7.5- 7.3 7.1 6.9 6.7 6.5 0 1 2 Time Series Value 7.36 7.41 7.56 (b) Use trial and error to find a value of the exponential smoothing coefficient a that results in a relatively small MSE. (Round your answers to two decimal places.) 7.57 7.61 7.53 3 4 7.53 7.71 5 67 7 8 9 10 11 Week 7.63 7.56 a = 0.1 Forecast α = 0.3 Forecast J C O Index DIC a = 0.8 Forecast 8.5 8.3- 8.1 7.9 7.7 7.5- 7.3 7.1 6.9 6.7 6.5 0 8.5 T 8.3- 8.1 7.9- 7.7- 7.5 7.3 7.1 6.9- 6.7- 6.5 1 2 3 4 5 678 Week + 0 1 2 3 4 8 9…
- Hide Assignment Information Instructions Exercise #5 For this week exercise, we need to try a few logit models (see this link for more information: LOGIT REGRESSION) If you have chosen to work with Excel, please run above three models and complete the following tables. Model 1: Run a regression model and use being a member of network and find out its impact on hospital cost? (Model 1) Model 2: For the 2nd model run a regression model and use being a member of network and find out its impact on hospital cost and hospital revenue? (Model 2) Model 3: For the 3rd model run a regression model and use being a member of network and find out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Based on your finding please recommend 3 policies and discuss the impact of being on a network on hospital cost, hospital revenue and out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Do you recommend keeping membership for a hospital? Why or why not?Distinguish between Planning and Forecasting. Answer must briefly.E-Government Implementation has several phases, except: Select one: a. Execution b. Social health care c. Planning d. Control
- Part 1 The accompanying dataset provides the closing prices for four stocks and the stock exchange over 12 days. Complete parts a through c. Part 1 a. Use Excel's Data Analysis Exponential Smoothing tool to forecast each of the stock prices using simple exponential smoothing with a smoothing constant of 0.3. Complete the exponential smoothing forecast model for stock B. (Type integers or decimals rounded to two decimal places as needed.) Date Forecast B 09/03/2010 09/07/2010 09/08/2010 09/09/2010 09/10/2010 09/13/2010 09/14/2010 09/15/2010 09/16/2010 09/17/2010 09/20/2010 09/21/2010 Date A B C D Stock Exchange09/03/2010 128.82 18.38 21.22 15.37 10,462.5509/07/2010 124.78 18.27 20.54 15.54 10,262.8409/08/2010 126.03 17.86 20.68 15.77 10,351.6809/09/2010 125.91 17.98 20.43 15.99 10,319.1309/10/2010 126.87 17.87…Problem 3-4 (Static) An electrical contractor's records during the last five weeks indicate the number of job requests: 2 3 22 18 Week: Requests: 1 20 4 21 Click here for the Excel Data File Predict the number of requests for week 6 using each of these methods: a. Naive. 5 22 Answer is complete but not entirely correct. Number of requests 24 X requests b. A four-period moving average. (Round your answer to 2 decimal places.). Answer is complete but not entirely correct. Number of 23.25 c. Exponential smoothing with a = 0.30. Use 20 for week 2 forecast. (Round your intermediate calculations and fina mal nisenelUsing seasonal relatives. Apple’s Citrus Fruit Farm ships boxed fruit anywhere in the world. Usingthe following information, a manager wants to forecast shipments for the first four months of nextyear.MonthSeasonalRelative MonthSeasonalRelativeJan. 1.2 Jul. 0.8Feb. 1.3 Aug. 0.6Mar. 1.3 Sep. 0.7Apr. 1.1 Oct. 1.0May. 0.8 Nov. 1.1Jun. 0.7 Dec. 1.4The monthly forecast equation being used is:Ft= 402 + 3twheret0 = January of last yearFt= Forecast of shipments for month t