The phrase "simple forecast" is correct and usable in written English.
You can use it when referring to a straightforward or uncomplicated prediction about future events, often in contexts like weather, finance, or project planning.
Example: "The simple forecast for tomorrow indicates clear skies and mild temperatures."
Alternatives: "basic prediction" or "straightforward projection."
Making a simple forecast based on the past few months' data suggests that world GDP will fall from 3.8% in the first quarter to 3.3% in the second quarter.
Last year, a senior Google executive, who has since left the company, observed that until late that year Google never had a systematic process for developing an annual budget or allocating capital across businesses; instead, budgeting was merely a simple forecast for each of the products.
The taxes and penalties applied to the distribution often become the focal point when this option is discussed, but a simple forecast of the distribution's long-term impact on the participant's future is even more bothersome.
A simple forecast of impacts would be that these features of the climate, which have been observed in recent years, will become less likely to occur.
In this new era of uncertainty, not only must we must accept that simple forecasting is not going to be very useful to us, we must sharpen our skills of forethought.
The article, like the previous one, relies in part on a simple forecasting model that accounts for a president's current approval rating, and then allows you to input various economic results as measured by growth in gross domestic product from now to the election.
They are quite accurate, and so they may also serve for simple forecasts.
Trend Impact Analysis is a simple forecasting approach, yet powerful, within the Futures Studies paradigm.
If your time horizon is very short, like a year, then you must pick a benchmark via simple forecasting, which is tricky (see my Apr. 3 column).
The best LRC value (1.00) is measured within RWE_1c for the simple forecasting methods, while the best R2 value (0.84) is measured within RWE_1d for BATS.
The key behavioral feature of the model is the switching by agents between simple forecasting rules on the basis of a fitness measure.
