Consider the following time series dataset representing the monthly sales of a product over a one-year period: | Month | Sales | |----------------| | 150 | | 180 | | 200 | 160 | | 210 | | Jan Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | 250 | | 300 | | 350 | 280 | | | 220 | | 190 | | 230 | • Plot the time series data to visualize the sales pattern over the year. Identify any trends or seasonality in the data. • Calculate the 3-month moving average for the sales data. Plot both the original sales data and the moving average on the same graph. Discuss how the moving average smoothens the data and highlights trends.
Consider the following time series dataset representing the monthly sales of a product over a one-year period: | Month | Sales | |----------------| | 150 | | 180 | | 200 | 160 | | 210 | | Jan Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | 250 | | 300 | | 350 | 280 | | | 220 | | 190 | | 230 | • Plot the time series data to visualize the sales pattern over the year. Identify any trends or seasonality in the data. • Calculate the 3-month moving average for the sales data. Plot both the original sales data and the moving average on the same graph. Discuss how the moving average smoothens the data and highlights trends.
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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