6. Marianne Schwartz, the owner of Handy Man Rentals, rents carpet cleaners to contractorsand walk-in customers. She is interested in arriving at a forecast of rentals so that she canorder the correct quantities of supplies that go with the cleaners. Data for the past 10weeks are shown here.Week12345Rentals1516241823Week678910Rentals2024271816a. Prepare a forecast for weeks 6 through 10 by using a 4-week moving average.What is the forecast for week 11?

A typical stock indicator in technical analysis is the moving average. By generating a continuously…

Answered: 6. Marianne Schwartz, the owner of…

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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Getting mixed up with the correct formulas. TextBook shows different than on chegg
An electrical contractor's records during the last five weeks indicate the number of job requests: Week: Requests: 1 2 3 5 25 27 25 26 27 Click here for the Excel Data File Predict the number of requests for week 6 using each of these methods: a. Naive. Number of requests b. A four-perlod moving average. (Round your answer to 2 decimal places.) Number of requests
1 The demand for automobiles at Crescent Auto Dealers for the past 8 weeks is as follows. Auto Week Demand 1 9. 2 11 3 8 4 12 5 10 13 7 7 8. 12 Develop a 3-week moving average forecast for Weeks 4 through 9 a Develop a 3-week weighted average forecast for weeks 4 through 9 with weights of d. What is the Naïve forecast for Week 9?
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Forecast for next months and trend using double exponential smoothing
Given below are the demands of a certain product over the past 10 weeks. Week | 1 2 3 4 | 5 67|89 | 10 Demand 50 64 66 68 67 63 69 67 65 66 (a) Forecast the demand for the 13th week using the following techniques: i. 3- week weighted moving average with weights 0.2, 0.3, and 0.5 ii. Exponential smoothing with a smoothing constant equal to 0.85 ii. Adjusted exponential smoothing with a smoothing constant equal to 0.85 and smoothing constant for trend equal to 0.65 (b) Compute for the accuracy of each model using the mean squared error. Based on the computed MSE, what is the best forecasting technique for this time series?
b3 need urgent in 15 minutes
a. A manufacturing firm manufactures electric motors. The sales during the last four months (starting from the first month) has been: 96, 75, 89, and 68 units. The forecast for the first month was 80 units. Using the exponential smoothing method with a = .70, predict the next moth's sales. Calculate the mean absolute percent deviation for this data and comment on the performance of the forecasting method. b. Using the rule lot size=multiple of 50, determine the planned order releases for each week in the following MRP record. The lead time is 2 weeks. IS
(4) Exponential smoothing with a smoothing constant equal to 0.15, assuming a March forecast of 15(000). (Round your intermediate forecast values and final answer to 2 decimal places.) Forecast thousands (5) A linear trend equation. (Round your intermediate calculations and final answer to 2 decimal places.) Yt thousands
6. Consider the following data table. (12 Points) a) Forecast demand using exponential smoothing with an apha of 0.25, and an initial forecast of 128.0 for period 1. b) Calculate the MAD and MSE. Period Real demand 130 138 129 140 3 4 5 133
Use simple exponential smoothing with a=0.6 to forecast chargers sales for February through May. Assume that the forecast for January was 24 chargers. *** Month January Charger Sales 42 February 33 March 28 April 59 May ? a) What will be the forecast for May? b) Calculate the MSE.
please answer in excel Jean’s Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that she can schedule the personnel. The manager uses α = 0.3 for exponential smoothing, and the forecast for the first week was 24 calls. The manager also uses 3 weekly moving averages technique. a) Using 3 period moving averages, forecast the number of calls for week 7. b) Using exponential smoothing, forecast the number of calls for week 7. c) Compare these two forecasting techniques using Mean Squared Errors (MSE) measure. Which one is better?

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