The table below shows the quarterly sales of television set (in thousands) in an electrical appliance shop inyears 2017-2019.YearQuarter 1Quarter 2Quarter 3Quarter 420174.84.16.06.520185.85.26.87.420196.5.67,57.8(a) Describe the trend and seasonal variation of the sales of television setby referring to the following timeseries plot. (In a short paragraph of around 30 words.)Sales of Television Set (1000s)23589101112Time: (2017 Quarter 1 to 2019 Quarter 4)(b) Calculate the seasonal variation for Quarter 1, Quarter 2, Quarter 3, and Quarter 4 respectively by usingthe calculated 4-quarter moving average as below.YearQuarterSalesCentered Moving(1000)Average (1000)20175.475201746.55.7375201815.85.975201825.26.1875201836.86.32520187.46.42019166.5375201925.66.675TTTT"

Seasonal variation will be variation in a period series inside one year that is rehashed pretty much…

Answered: The table below shows the quarterly…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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A seasonal index for a monthly series is about to be calculated on the basis of the past four years' accumulation of data. The four previous July values were 110, 135, 125, and 130. The four previous total year values were 1440, 1920, 1920, and 2400. Calculate the seasonal index for July If the total-year forecast for next year is 2400. What is the July forecast for next year?
DETERMINE I) the adjusted seasonal indexes ofautumn: II) the de-seasonalised of period 1: III) the de-seasonalised of period 16:
Which forecasting model assumes that what will happen in the immediately succeeding period is most likely similar to what happened this period than to that of, say, three periods ago?
Use exponential smoothing with trend adjustment to forecast demand for period 11. Let α = 0.5, � = 0.3, and let the initial trend value be 12 and the initial forecast be 200
1. Favors Distribution Company purchases small imported trinkets in bulk, packages them, and sells them to retail stores. They are conducting an inventory control study of all their items. The following data for the year 2006 are for one such item, which is not seasonal. [10 Points] Month Sales Jan Feb 18 19 Mar Apr May Jun 17 21 20 19 Jul 20 Aug 23 a. Use trend projection to estimate the relationship between time and sales (state the trend line equation in this problem). b. Calculate forecasts for February 2007, April 2007, and February 2008
In a short paragraph, describe the trend and seasonal variation of the number of customers (in thousand)in this coffee shop by referring to the following time series plot:(b) Find the trend by calculating the 4-period moving average.(Present your work in a table format and correct all answers to 4 decimal places.)
The following data are for calculator sales in units at an electronics store over the past nine weeks: Week Sales Week Sales 45 6 53 50 7 59 44 8 59 51 64 57 Use trend projection with regression to forecast sales for weeks 10 - 13. What are the error measures (CFE, MSE, G. MAD, and MAPE) for this forecasting procedure? How about ?? Obtain the trend projection with regression forecast for weeks 10 - 13. (Enter your responses rounded to two decimal places.) Period Forecast, F 10 64.81 11 67.06 12 69.31 13 71.56 Obtain the error measures. (Enter your responses rounded to two decimal places.) CFE MSE MAD MAPE 6.72 2.75 2.1 4.1 % Find the coefficient of determination (). The coefficient of determination ? = (Enter your response rounded to two decimal places.)
The following shows five months forecast demand and the corresponding actual demand for certain product.
Determine the one-step-ahead forecasts for the demand for January 2014 using3-, 6-, and 12-month moving averages
The Yummy Ice Cream Company projects the demand for ice cream by using first-order exponential smoothing. Last week the forecast was 100,000 gallons of ice cream, and 90,000 gallons was actually sold. Using alpha=.1, prepare a forecast for next week. Calculate the forecast using Alpha=.2 and Alpha=.3 for this problem. Which values of Alpha gave the best forecast, assuming actual demand for next week ends up being 95,000 gallons?
The following data are for calculator sales in units at an electronics store over the past nine weeks: Week Sales Week Sales 1 45 6. 53 2 50 7 59 3 44 59 4 51 9 64 5 57 Use trend projection with regression to forecast sales for weeks 10 - 13. What are the error measures (CFE, MSE, G. MAD, and MAPE) for this forecasting procedure? How about ? Obtain the trend projection with regression forecast for weeks 10 - 13. (Enter your responses rounded to two decimal places.) Period Forecast, F, 10 11 12 13
Mark 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 3 8 5 8 6 Demand for Guitars 2 5 6 4 11 6 This exercise contains only parts b, c, and d. b) Using the least-squares regression method, the equation for forecasting is (round your responses to four decimal places): Y = + c) The estimate for guitar sales if Maroon 5 performed on TV 11times = sales (round your response to two decimal places). d) The correlation coefficient (r)for this model = (round your response to four decimal places). The coefficient of determination (r2) for this model = (round your response to…

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