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putting your previous answers together, what advantage is there to using a longer moving average for noise reduction? what do we have to trade off (i.e., what disadvantage becomes more and more pronounced) in doing so?

Respuesta :

The advantage of using a longer moving average for noise reduction moving average is used for forecasting goods or commodities with constant demand, where there is a slight trend or seasonality.

Product forecasting is the science of predicting the success of new products in the market. To do this, predictive models should consider product awareness, distribution, pricing, unmet need responses, competitor options, and more.

Forecasting is the technique of using historical data as input to make forward-looking, informed estimates in determining the direction of future trends. Organizations use forecasts to determine how to allocate budgets and plan expected expenses for the next period.

Learn more about forecasting goods https://brainly.com/question/21445581

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