4.6The monthly sales for Telco Batteries, Inc., were asfollows:MonthSales20JanuaryFebruaryMarch211514AprilМay13June1617JulyAugustSeptemberOctober182020November21December23a) Plot the monthly sales data.b) Forecast January sales using each of the following:i) Naive method.ü) A 3-month moving average.iii) A 6-month weighted average using .1, .1, .1, .2, .2, and .3,with the heaviest weights applied to the most recent months.iv) Exponential smoothing using an a = .3 and a Septemberforecast of 18.v) A trend projection.

Forecasting is a technique that uses historical data as information to make informed assessments…

Answered: a) Plot the monthly sales data. b)…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section: Chapter Questions

Problem 42P: The file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars)...

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The file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars) through credit unions. a. Use these data to forecast consumer revolving credit through credit unions for the next 12 months. Do it in two ways. First, fit an exponential trend to the series. Second, use Holts method with optimized smoothing constants. b. Which of these two methods appears to provide the best forecasts? Answer by comparing their MAPE values.
The monthly sales for Yazici Batteries, Inc., wereas follows: a) Plot the monthly sales data.b) Forecast January sales using each of the following:i) Naive method.ii) A 3-month moving average.iii) A 6-month weighted average using .1, .1, .1, .2, .2, and.3, with the heaviest weights applied to the most recentmonths.iv) Exponential smoothing using an a = .3 and aSeptember forecast of 18.v) A trend projection.c) With the data given, which method would allow you toforecast next March’s sales?
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a. what are forecasts? b. what are the costs associated with forecasting, and with not forecasting?
q 1 An analyst must decide between two different forecasting techniques for weekly sales of roller blades. Based on the following data, answer the below questions. time Units sold 1 147 2 148 3 151 4 145 5 155 6 152 7 155 8 157 9 160 10 165 What's the MAD if the exponential smoothing technique with alpha 0.4 is used?
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