What is a weighted moving average?

A weighted moving average is a statistical calculation used to analyze data points by assigning different weights to each of them, thereby emphasizing the importance of more recent data. This approach is particularly valuable in time series analysis, where trends and patterns in data can change over time.

By giving more significance to recent observations, the weighted moving average allows for a more responsive and accurate reflection of the current data trends, as older data can potentially distort the understanding of current performance. This methodology helps in smoothing out fluctuations in data while retaining the impact of the latest trends, making it a preferred choice for forecasting and decision-making in dynamic environments.

In contrast, other options describe different types of averages or methodologies that do not account for the varying importance of data points, which is essential for a weighted moving average.