Question: A manager is using exponential smoothing to predict summer merchandise returns at a suburban branch of a department store chain. Given a May forecast of

A manager is using exponential smoothing to predict summer merchandise returns at a suburban branch of a department store chain. Given a May forecast of 120 items, an actual May number of returns of 128 items, an actual June number of returns of 130 items, and a smoothing constant equal to 0.25, what is the forecast for July? Hint: calculate June forecast first.

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