Hello,
I've created a regression time-series model to forecast future sales. As I've taken historical sales data from 2007-2014 to project sales for 2015, there is technically equal weighting being placed on 2007 as there is for 2014. However, common sense will you tell that more recent trends will likely tell the story of future sales, so I was wondering if there was a way to weight recent years heavier in my model.
I cannot determine if the weight or weights should be applied to the time factor, the slope, or the trend, or even how to apply them. For some clarification regarding the attached:
t = time
MA = moving average
CMA = centered moving average
St = seasonality
Tt = trend (y=mx+b)
Any help, tips or advice would be greatly appreciated!
Thanks!
Weighted Regression Example.xlsx
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