Consider the following time series data.QuarterYear 1Year 2Year 31467223633564578a. Construct a time series plot. What type of pattern exists inthe data?Trend PatternSeasonal PatternHorizontal PatternO Trend and Seasonal PatternQuestion 115 ptsb. Create the following dummy variables: Qtr1 = 1 if quarter1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 ifquarter 3, 0 otherwise. Create a variable t such that t = 1 forquarter 1 of year 1, t = 2 for quarter 2 of year 1, ..., t = 12 forquarter 4 of year 3. Use these dummy variables and t todevelop an estimated regression equation to account forseasonal effects and any linear trend in the data. What is theforecast for quarter 1 of next year?

Step 1: To fully address the question, we need to perform a time series analysis, which involves…

Answered: Consider the following time series…

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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The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 370 410 381 371 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.67 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.20, 0.35, and 0.45, using 0.45 for the most recent week, the forecasted demand for the week of October 12 = pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.)
I understand the moving average concept but not the weighted moving average and exponential smoothing
The manager of the Petroco Service Station wants to forecast the demand for unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the past 10 months. Compute an exponentially smoothed forecast with an a value of .30. According to the result from Excel and/or POM-QM, the forecast for the month of January would be (type number only, two decimals) Month October November December January February March April May June July 733.25 Gasoline Demanded (gal.) 800 725 630 500 645 690 730 810 1,200 980
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week of Pints used Aug 31 360 Sep 7 370 Sep 14 412 Sep 21 383 Sep 28 371 Oct 5 371 A) The forecasted demand for the week of October 12 using a 3-week moving average = 375 B) Using the 3-week weighted moving average, with weights of 0.10, 0.35, 0.55, using 0,55 for the most recent week, the forecasted demand for the week of October 12=[__] pints (round your response to two decimal places and remember to use the weights in appropriate order- the largest weight applies to most recent period and smallest weight applies to oldest period.)
Zagat’s publishes restaurant ratings for various locations in the United States. The file Restaurants contains the Zagat rating for food, décor, service, and the cost per person for a sample of 100 restaurants located in the center of New York City and in an outlying area of New York City. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the ratings for food, décor, and service. Sources: Extracted from Zagat Survey 2015, New York City Can you provide me with an excel explaination showing formulas
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 Demand for Guitars Y = 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): + 4 2 X 5 7 5 9 7 6 7 6 10 7
1. The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Part 2 Week Of Pints Used August 31 350 September 7 372 September 14 412 September 21 381 September 28 366 October 5 378 Part 3 a) The forecasted demand for the week of October 12 using a 3-week moving average LOADING... = _____________pints (round your response to two decimal places).
Sales for the past 6 months at Dalworth Company are given in the following table: Month Sales July 52 August 61 September 53 October 35 November 31 December 28 What is the Mean Absolute Deviation (MAD) for August through December forecasts produced by using exponential smoothing with α = 0.4? (Note: Do not round the forecasts, and choose the closest answer.) Multiple Choice 39.64 8.75 15.28 11.94
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: S Week Of August 31 September 7 September 14 September 21 September 28 October 5 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places) b) Using a 3-week weighted moving average, with weights of 0.15, 0.35, and 0.50, using 0.50 for the most recent week, the forecasted demand for the week of October 12 = order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 350 and a = 0.30, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places) Week Of Pints Used Forecast for this Date 350 350.00 356.00 August 31 September 7 September 14 September 21 September 28 October 5 October 12 Pints…
help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working
Which term most closely relates to associative forecasting techniques? Select one: a. time series data Ob. linear relationships Oc. the Delphi technique O d. consumer survey O e. predictor variables
(Use an excel file to show formulas used)

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