Which forecasting method uses historical data patterns to predict future values?

Which forecasting method uses historical data patterns to predict future values?

• A. Regression
• B. Seasonal adjustment
• C. Delphi method
• D. Trend analysis

Answer: (D)

Forecasting based on how data have moved over time relies on identifying the direction and rate of change in the historical values and then extending that pattern into the future. Trend analysis specifically looks at that long-term movement in a time series—whether it’s rising, falling, or leveling off and how quickly. By fitting a trend and projecting it forward, you estimate upcoming values using the information already contained in the data’s past behavior. This is why trend analysis is the best fit for the description. Other methods work from different bases: regression models relationships with other variables, seasonal adjustment isolates recurring seasonal effects, and the Delphi method relies on expert judgments rather than time-based patterns.

Forecasting based on how data have moved over time relies on identifying the direction and rate of change in the historical values and then extending that pattern into the future. Trend analysis specifically looks at that long-term movement in a time series—whether it’s rising, falling, or leveling off and how quickly. By fitting a trend and projecting it forward, you estimate upcoming values using the information already contained in the data’s past behavior. This is why trend analysis is the best fit for the description. Other methods work from different bases: regression models relationships with other variables, seasonal adjustment isolates recurring seasonal effects, and the Delphi method relies on expert judgments rather than time-based patterns.