Which forecast method allows for the selection of the number of weeks?

The automatic best method selection is the correct choice because it utilizes algorithms to analyze historical performance data over various time periods, including the option to specify the number of weeks for which a forecast is generated. This method assesses multiple forecasting techniques and selects the one that is statistically most accurate for the chosen timeframe, allowing for a tailored approach according to business needs.

In contrast, historical data analysis relies on past data to generate forecasts without the flexibility of selecting a specific week range, focusing more on trends and averages from the complete historical dataset. Long-term forecasting typically looks at extended periods, often months or years, rather than allowing for granular week-by-week selection. The manual entry method relies on users inputting their own data and predictions, which does not inherently provide a statistical or data-driven selection process for determining the number of weeks for forecasts.