Statistical forecasting uses past data to identify patterns and trends to predict the future. Which statement is correct?

• A. False
• B. Can't say
• C. Not enough data
• D. True

Answer: (D)

Forecasting rests on using information from historical observations to uncover regularities in the data, such as trends and recurring patterns, and then using those patterns to estimate future values. By examining past data, you can detect a general direction over time (a trend), regular up-and-down cycles (seasonality), and other consistent relationships that help explain how the series behaves. Models like time-series approaches (moving averages, exponential smoothing, ARIMA) or regression that includes time or related predictors formalize these patterns so they can produce forecasts. The key idea is that patterns observed in the past provide information about what to expect next, albeit with uncertainty because future conditions can change. So the statement is correct: past data and identified patterns inform future predictions.