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In time series analysis, the moving-average (MA) model is a common approach for modeling univariate time series. The moving-average model specifies that the output variable depends linearly on the current and various past values of a stochastic (imperfectly predictable) term.

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What is the lag associated with Moving Average smoothing?

In a tutorial I came across this: "Recall that the forecast value is: $\hat{y}_{t+1} = \frac{y_t + y_{t-1} + ... + y_{t-m+1}}{m}$ It's worth pondering that formula for a minute. While easy to understa …
Shahzeb Naveed's user avatar