Time series forecasting relies on what kind of data?

• A. Judgemental Approach
• B. Time Series Approach
• C. Relational Approach
• D. Delphi Technique

Answer: (B)

Time series forecasting relies on time-ordered data. By gathering observations at regular intervals over time, you can detect patterns such as trends, seasonality, and cycles, and use how past values relate to future values to make predictions. This approach specifically exploits autocorrelation and the temporal structure in the data to forecast what comes next. Other methods described—judgemental approaches or structured Delphi techniques—rely on expert opinion rather than historical time-ordered patterns, and the relational approach focuses on relationships between variables without the time sequence that time series methods depend on.