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1. Consider the following sales figures for the past five years. Year 1 2 3 4 5 Sales 135 142 150 145 160 (a) Use simple average to forecast sales for this year (year 6). (b) Use moving average with n = 2 to forecast sales for this year. (c) Use exponential smoothing with a = 0.1 and an initial forecast value of 150 to forecast sales for this year.

1. Consider the following sales figures for the past five years. Year 1 2 3 4 5 Sales 135 142 150 145 160 (a) Use simple average to forecast sales for this year (year 6). (b) Use moving average with n = 2 to forecast sales for this year. (c) Use exponential smoothing with a = 0.1 and an initial forecast value of 150 to forecast sales for this year.

MATLAB: An Introduction with Applications
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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1. Consider the following sales figures for the past five years. Year 12 3 45 Sales 135 142 150 145 160 (a) Use simple average to forecast sales for this year (year 6). (b) Use moving average with n = 2 to forecast sales for this year. (c) Use exponential smoothing with a = 0.1 and an initial forecast value of 150 to forecast sales for this year. (d) Use linear regression to forecast sales for this year. (e) Using mathematical evidence (SSE on forecasts for years 4 and 5), show which of the above methods is superior.
Transcribed Image Text:1. Consider the following sales figures for the past five years. Year 12 3 45 Sales 135 142 150 145 160 (a) Use simple average to forecast sales for this year (year 6). (b) Use moving average with n = 2 to forecast sales for this year. (c) Use exponential smoothing with a = 0.1 and an initial forecast value of 150 to forecast sales for this year. (d) Use linear regression to forecast sales for this year. (e) Using mathematical evidence (SSE on forecasts for years 4 and 5), show which of the above methods is superior.
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