What type of prediction uses historical data to determine a numerical outcome?

Numeric predictions are focused on providing an estimated numerical outcome based on historical data analysis. This type of prediction utilizes various statistical techniques and algorithms to analyze past patterns and relationships in the data, allowing individuals or organizations to forecast future values quantitatively. For example, a numeric prediction might estimate future sales volume by examining trends in past sales figures.

In contrast, qualitative predictions are based on subjective judgment and insights rather than numerical analysis. Binary predictions are limited to two possible outcomes, such as yes/no or true/false scenarios, and do not provide a range of numerical results. Meta predictions typically involve predictions about the performance of other predictions or models, which is distinct from directly providing a numerical outcome based on historical data.