9. Problem 18-28 (Algo)The following are historical demand data:ACTUALYEAR SEASONDEMAND2011 Spring 203Summer 144Fall382Winter 5652012Spring 471Summer 271Fall686Winter 955Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do notround intermediate calculations. Round your answer to the nearest whole number.)Forecast for summer 2013 = 364

Calculate Seasonal Indices:Determine the seasonal index for each season. By dividing the actual…

Answered: 9. Problem 18-28 (Algo) The following…

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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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 Value 17 12 17 (a) mean absolute error MAE = (b) mean squared error MSE = Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. 4 % 5 6 (d) What is the forecast for week 7? 10 16 15 (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE =
Given the following original forecast and actual data: Month Actual Forecast Jan 600 Feb 475 Mar 550 Apr 575 May 643 Jun 662 Jul ??? ??? Using a 2 month weighted moving average with weights of 75% for the previous month and 25% for two months back, what is the forecast for July. Round your answer to 1 decimal place. 400 -- —— ——
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Given the following original forecast and actual data: Month Actual Forecast Jan 600 Feb 475 Mar 550 Apr 575 May 643 Jun 662 Jul ??? ??? Using a 2 month weighted moving average with weights of 75% for the previous month and 25% for two months back, what is the forecast for July. Round your answer to 1 decimal place. 400 -- —— ——
14. The demand for Krispee Crunchies is experiencing a decline. The company wants to monitor demand for this product closely as it nears the end of its life cycle. The following table shows the actual sales history for January to October. Generate forecasts for November to December, using the trend projection with regression method. Looking at the accuracy of its forecasts in the Trend Projection Worksheet, as well as the other statistics provided, how confident are you in these forecasts for November to December? Month January February March April May June Sales 890,000 800,000 825,000 840,000 730,000 780,000 Month July August September October November December Sales 710,000 730,000 680,000 670,000
The Toro Cutlery Company has collected monthly sales information below: MONTH January February March April The company is examining two forecasting methods, moving average and exponential smoothing for forecasting sales. a. What will the forecast be for January the following year using a three-, four-, and five-month moving averages? Do not round intermediate calculations. Round your answers to the nearest whole number. Forecast (January, 3-month MA): 87667 Forecast (January, 4-month MA): 72500 Forecast (January, 5-month MA): 69600 b. What will the forecast be for January the following year using exponential smoothing with a = 0.6? Assume the forecast for February this year is 25,000. Do not round intermediate calculations. Round your answer to the nearest whole number. SALES 25,000 18,000 43,000 110,000 MONTH May June July August SALES MONTH 84,000 September 28,000 October 97,000 November 58,000 December SALES 27,000 105,000 82,000 76,000
41) A medium-term forecast is considered to cover what length of time? A) 2-4 weeks B) 1 month to 1 year C) 2-4 years D) 5-10 years E) 20 years 42) When is the exponential smoothing model equivalent to the naÃ¯ve forecasting model? A) ? = 0 B) ? = 0.5 C) ? = 1 D) during the first period in which it is used E) never 43) Enrollment in a particular class for the last four semesters has been 120, 126, 110, and 130. Suppose a one-semester moving average was used to forecast enrollment (this is sometimes referred to as a naÃ¯ve forecast). Thus, the forecast for the second semester would be 120, for the third semester it would be 126, and for the last semester it would be 110. What would the MSE be for this situation? A) 196.00 B) 230.67 C) 100.00 D) 42.00 E) None of the above 44) Which of the following methods tells whether the forecast tends to be too high or too low? A) MAD B) MSE C) MAPE D) decomposition E) bias 45) Assume that you have tried three different…
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ABC Inc. sells patio sets. Monthly sales for a seven-month period were as follows: Month Sales (000) Unites Feb 19 Mar 18 Apr 15 May 20 Jun 18 Jul 22 Aug 20 Forecast September sales volume using a weighted average approach using 0.60 for August, 0.30 for July, and 0.10 for June.
*** Can you please demonstrate how to do parts d, e, f? Given: Year Demand 1 7 2 9 3 5 4 9 5 Predict the value for Year 5: 2 year moving average What is MSE for 2 year moving average? 2 year moving average using 0.6 (weight for the oldest period) and 0.4(weight for most recent period Exponential smoothing, =0.2 and forecast for Year 1 = 5 Linear trend Which forecast method has the least amount of error using MAD? What is the coefficient?
Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

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