Which Time Series component handles a trend?

Which Time Series component handles a trend?

• A. Linear trend
• B. Naive forecasting
• C. Simple moving average
• D. Simple regression

Answer: (A)

A time series has a long-term direction—the trend—showing growth or decline over time. The linear trend handles this by modeling the path as a straight line with a constant slope, capturing a steady increase or decrease per time unit. This separates the underlying direction from regular seasonal patterns and random noise, making forecasts reflect the ongoing tendency in the data.

Naive forecasting ignores trend by simply repeating the last observed value. A simple moving average smooths fluctuations to reveal the overall direction but doesn’t explicitly include a trend component. Simple regression can estimate a trend line, but in the standard time-series decomposition sense, the dedicated trend component is the linear trend, which directly represents the long-term movement.