I am using a simple linear regression to predict the number of units an item has moved and price of the item is one of the input parameters.
For a few items, the older prices are not relevant and hence this results in incorrect predictions. The definition of
old price varies from item to item.
Is there a way to make the linear regression know that recent prices are more relevant?