**Naïve Approach **

In this approach, the forecast for the current period is the value of the previous observation of the time series. This approach
to forecasting has found wide use due to its simplicity. It can be used with a time series that may be stable, has seasonal variations
or has a trend component. In a project situation, this approach, in the absence of any other information, could be used for predicting
the number of staff available to perform activities in the next reporting period. Also, in the case of a resource scheduling routine
in use with a reporting period as short as one week, the naive forecast may be the most appropriate forecasting method for planning
next week's work and allocating staff to tasks. Using this approach, the forecast for
period *t*+1 is,

F_{t+1} = A_{t}, Where

F_{ t+1}, is the forecast value for period *t*+1, and A* _{t}*,
is the actual value at time

*t*.