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Time Series Analysis On Consumption Of Electricity In Kwara State
[A CASE STUDY OFFA NEPA DISTRICT OFFICE FROM 2001-2015] -
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Since we must eliminate seasonal variation, the graph label Fig. 11. The seasonal variation in our time series and it is used to remove the effect of seasonal from time series which is called de-seasonalizing a time series. This graph made us proceed be deseasonilize our data as table 4.4
Moving average graph and original data of the montly consumption from 1998-2003
The graph of the original data shows in the figure by the solid line graph of the moving average is shown in broken line.
The moving average has smoothed the graph of original data also showing clearly the trend line.
This also means that seasonal irregular had been smoothed only some data are mixed at the end and beginning of the series
TO CALCULATE THE TREND VALUE FOR A GIVEN DATA TAKING IN MILLION UNITS
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ABSRACT - [ Total Page(s): 1 ]ABSTRACT HERE ... Continue reading---
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ABSRACT - [ Total Page(s): 1 ]ABSTRACT HERE ... Continue reading---