From the following annual data of sales (in 000 .$.) Find the trend values by using least square method. Also estimate the sales of 2014.Year2004 2005 2006 2007 2008 2009 2010Sales {In 000 $}77 889485919890

In order to predict future values or events, trend analysis uses historical data. The least-squares…

Answered: From the following annual data of sales…

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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Please help with the correct answers in details: Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 19 12 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE = (b) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE = % (d) What is the forecast for week 7?
Year Season Sales 2018 Winter 40 2018 Spring 29 2018 Summer 31 2018 Fall 40 2019 Winter 102 2019 Spring 87 2019 Summer 96 2019 Fall 132 2020 Winter 105 2020 Spring 93 2020 Summer 105 2020 Fall 117 2021 Winter 141 2021 Spring 39 2021 Summer 114 2021 Fall 123 What is the slope of the trend equation obtained by linear regression? Round to two decimal digits. What is the intercept of the trend equation obtained by linear regression? Round to two decimal digits. What is the seasonal index for Spring? Round to two decimal digits. The quarter number for Winter of 2018 is 1. What is the quarter number for Spring of 2025? What is the trend based forecast for Spring of 2025. Round to a whole number. What is the seasonally adjusted trend based forecast for Spring of 2025? Please do not use excel to find the slope and intercept, thank you so much!
four techniques used for forecasting sales (market researchers, delphi technique, trend analysis, and econometric models) were introduced. What are some factors when preparing a sales forecast that would lead you to rely on one or two of these techniques more than the others? Support your choice with evidence.
Sales for the past five months have been 15, 18, 12, 17, 13. Use the following methods to obtain a forecast of sales for the next month. a. The last-value method b. The averaging method c. The moving-average method with three months.
st Info Period 1 2 3 4 5 6 7 8 9 10 K Develop two exponential smoothing forecasts for periods 2 through 11. For the first forecast, use a = 0.3. For the second, use α = 0.7. Assume that your forecast for period 1 was 205. Click the icon to view the time series data. Find the exponential smoothing forecast for each period when a = 0.3 (enter your responses rounded to one decimal place). Demand 222 249 222 228 235 155 161 153 163 152 X Period 1 2 Demand 222 249 Forecast (α = 0.3) 205
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?
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Given the following data, use least-squares regression to derive a trend equation: Period Demand where y Demand and x = Period. 1 10 2 12 3 5 4 13 5 12 6 11 D The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places):
Please show work in excel Sales for the past 12 months at Schumacher & Company’s U.S. Retail Division are given below. a) Use a three-month moving average to forecast sales for the months April through December. b) Use the exponential smoothing method to forecast sales for the months of February through December. Use alpha = 0.6, and assume that the forecast for January was 47. c) Compare the performance of these two methods for the months of April through December using the mean squared error (MSE) as the performance criterion. Which method would you recommend? MONTH SALES Jan 52 Feb 60 Mar 54 Apr 36 May 40 Jun 47 Jul 25 Aug 27 Sep 25 Oct 36 Nov 32 Dec 28
Hi, I need help with solving for the following values (boxed). Thank you.
Use exponential smoothing with trend adjustment to forecast deliveries for period 5. Let α = 0.1, β = 0.2, and let the initial trend value be 4 and the initial forecast be 200 (both are given in the table). (a) Complete the table below and to predict the demand for Period 5 (See image). Show the calculations for the demand for Period 2. (b) Based on the actual demands of the first 4 periods forecast the demand for period 5 using the linear regression method. (c) Which method performs better based on the actual demand for period 5? Why do you think so?
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