Problem #2 - - The table below shows the same actual sales of a Product X sold by Company Y from January to December of 2019, as presented in Problem #1. Month 2-Month Moving Average Forecast-Sales (# of Product X) Actual Sales Absolute Value (# of Product X) of Errors 1,860 2,033 3,556 4,211 6,250 7,990 Jan/19 Feb/19 Mar/19 Apr/19 May/19 Jun/19 Jul/19 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 Jan/20 10,250 9,850 9,980 9,990 7,895 5,353 - Calculate the 2-month Moving Average Forecast for sales from March/2019 to a) January/2019 and enter them in the table above. b) Calculate the Absolute Value of Error for every forecasted month, from March/2019 to January/2020. Enter those values on the table above. c) Mean Absolute Percent Error (MAPE) for the 2-month Moving Average Forecast you created for Product X from March/2019 to January/2020. - Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE) and the
Problem #2 - - The table below shows the same actual sales of a Product X sold by Company Y from January to December of 2019, as presented in Problem #1. Month 2-Month Moving Average Forecast-Sales (# of Product X) Actual Sales Absolute Value (# of Product X) of Errors 1,860 2,033 3,556 4,211 6,250 7,990 Jan/19 Feb/19 Mar/19 Apr/19 May/19 Jun/19 Jul/19 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 Jan/20 10,250 9,850 9,980 9,990 7,895 5,353 - Calculate the 2-month Moving Average Forecast for sales from March/2019 to a) January/2019 and enter them in the table above. b) Calculate the Absolute Value of Error for every forecasted month, from March/2019 to January/2020. Enter those values on the table above. c) Mean Absolute Percent Error (MAPE) for the 2-month Moving Average Forecast you created for Product X from March/2019 to January/2020. - Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE) and the
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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