Which of the following forecasting methods takes a fraction of forecast error into account for the next period forecast?

For a product, the forecast and the actual sales for December $$2002$$ were $$25$$ and $$20$$ respectively. If the exponential smoothing constant $$(\alpha )$$ is taken as $$0.2,$$ then forecast sales for January $$2003$$ would be

A regression model is used to express a variable $$Y$$ as a function of another variable $$X.$$ this implies that

When using a simple moving average to forecast demand, one would