Understanding Seasonality in Time-Series Analysis

In time-series analysis, understanding seasonality is crucial, as it helps in identifying patterns that repeat at regular intervals over time. Seasonality refers to periodic fluctuations in data that occur at specific intervals, often associated with seasons, months, or other recurring timeframes.

Consider a retail company's monthly sales data that shows higher sales during the holiday season (November to December) and lower sales in the summer months (June to August). If this pattern continues over several years, it indicates the presence of seasonality in their sales data.

Given this information, which statement accurately describes the concept of seasonality in time-series data?