MMP (3, pesos 1:2:3)
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
Formula
MMP
About this calculator
The Moving Weighted Average (MMA) Calculator is a useful tool for time series analysis. It calculates the weighted average of values over a period of time, with different weights for each value.
The formula used by the MMA is (x₃·3 + x₂·2 + x₁·1)/6, where x₁, x₂ and x₃ are the values considered, and the weights are 1, 2 and 3, respectively.
The MMA is especially useful when you want to give more importance to some values relative to others. For example, in a sales time series, you might consider that the sale of a specific product is more important than the others.
However, you should be careful when choosing the weights, as they can significantly affect the result of the weighted average.
Frequently asked questions
What is the purpose of the Moving Weighted Average Calculator?
The purpose of the Moving Weighted Average Calculator is to calculate the weighted average of values over a period of time, with different weights for each value.
How to choose the weights for the weighted average?
The weights should be chosen based on the meaning and importance of the values considered. For example, if you are analyzing sales of products, you may consider that the sale of a specific product is more important than the others.
When to use the Moving Weighted Average Calculator?
The Moving Weighted Average Calculator should be used when you want to give more importance to some values in relation to others. This is especially useful in time series analysis.
What are time series?
Time series are sets of data ordered in time. They can be used to analyze patterns and trends in data related to events or phenomena that occur over time.
Why is the Moving Weighted Average Calculator important?
The Moving Weighted Average Calculator is important because it allows you to give more importance to some values in relation to others, which can be useful in time series analysis.