1. MAD for the naive forecast = ?? sales (round your response to two decimal places).
2. MAPE for the forecast developed by the naive approach = ?? % (round your response to two decimal places).
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1. MAD for the naive forecast = ?? sales (round your response to two decimal places)....
find mape for naive approach S of Quilt covers Bud Bandiscount de March April May and June t store in Carbonde over the past year we shown below Management prepared forecasting a combination of exponential smoothing and its collective judgment for the Sep 95 Oct 110 Nov 120 Dec 119 Jan 92 95 Un sales Management's Forecast Feb 4 - Mar Apr 102 0 120 114 May 90 108 Jun 108 110 a) MAD for the forecast developed by the...
Sales of quilt covers at Bud Banis's discount department store in Carbondale over the past year are shown below. Management prepared a forecast using a combination of exponential smoothing and its collective judgment for the 4 months (March, April, May, and June): MonthJulAugSepOctNovDecJanFebMarAprMayJunUnit Sales98979611012412092831019890110Management's Forecast--------122116110110a) MAD for the forecast developed by the management's technique = _______ sales (round your response to two decimal places).MAPE for the forecast developed by the management's technique = _______ %(round your response to two decimal places).b)...
Given the following data, what is the Mean Absolute Deviation (MAD): Month Demand Forecast Jan 100 110 Feb 100 100 Mar 120 100 Apr 110 90 May 100 110 Jun 90 100 Jul 80 90 Aug 90 80 Sep 100 110 Oct 110 100 Nov 110 110 Dec 120 110 A. 10 B. 20 C. 30 D. 133.33
The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov DecSales 19 21 17 14 11 18 16 19 20 20 23 23b) The forecast for the next month (Jan) using the naive method (round your response to a whole number)The forecast for the next period (Jan) using a 3-month moving average approach =(round your response to two decimal places)The forecast for the next period (Jan) using a 6-month weighted average with weights ofandwhere the heaviest weights are applied to the most recent month = (round your response to one decimalplace)Using...
The monthly sales for Yazici Batteries, Inc., were as follows:MonthJanFebMarAprMayJunJulAugSeptOctNovDecSales202115121518151922212124This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method = _______ sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach = _______ sales (round your response to two decimal places) The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20,0.20, and 0.30,...
The human resources department needs to forecast the number of employees at a site. The data for several months is supplied below. Be careful since the data is listed beginning with the most recent. The forecasting method to be used here is the 7 month moving average. Please round your forecast to the nearest whole number Nov 2019: 956 Oct 2019: 1014 Sep 2019: 1009 Aug 2019: 963 Jul 2019: 966 Jun 2019: 1024 May 2019: 1045||Apr 2019: 1047 Mar...
The monthly sales for Yazici Batteries, Inc., were as follows: Jan Month Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec 24 Sales 19 23 16 15 13 15 17 18 22 21 23 This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method 24 sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach 22.67sales (round...
The monthly sales for Yazici Batteries, Inc. were as follows: Month Jan 20 Feb 21 Mar 16 Apr May 15 13 Jun 18 Jul 15 Aug Sept Oct Nov Dec 18 19 22 202 This exercise contains only parts de b) The forecast for the next month (Jan) using the naive method = 24 sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach = 22 sales (round your...
Calculate a 3-months simple moving average, for each possible month of years 2014/2015/2016. Calculate the MAD, MSE and MAPE for this method. In addition to the formulas in the computer, show one manual calculation of a forecast of this method, for any month you choose (10 marks)JanFebMarAprMayJunJulAugSepOctNovDecYear474549485250515455566063201450515254565756595555658120155456585761626365676769752016
Moving average (MA) Calculate the sales using 2, 3, 4, 5, and 6 month moving average values. Forecast and plot the upcoming period’s sales using the moving average series that fits best. Explain why you chose that particular MA. Why is it inadvisable to use the Moving Average approach to forecast far into the future? Month Sale Month Sale Month Sale Oct-12 13.30 Oct-13 24.01 Oct-14 50.56 Nov-12 1.70 Nov-13 32.67 Nov-14 60.06 Dec-12 11.44 Dec-13 23.19 Dec-14 61.73 Jan-13...