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.)
8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True False
Jean and Dinah had been in business for two years producing umbrellas to be sold to the cruise ship passengers when they docked. They found that they are constantly out of umbrellas and had to rush producions which has resulted in the increase of their production cost. Jean has a nephew who is enrolled in the UWIOC and he advised her to prepare forecasted qualities using the sales that they made over the past months. The data below represents sales for the last 9 months. In order to assist Jean and Dinah you are asked to; a. plot the data on a graph showing the trend b. determine the equation of the trend line c. predict sales for month 10 and 11. Months Sales 1 44 2 52 3 50 4 54 5 55 6 55 7 60 8 56 9 62
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
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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).
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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: 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…

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