Final answer:
Option B is the most suitable because quarterly sales figures follow predictable business and seasonal cycles, making short-term data a good estimate for longer-term trends.
Step-by-step explanation:
In the context of data analysis and time series graphs, the question asks for a situation where the rate of change over a short period can be representative of that over a longer period. Typically, time series data is used to track changes over intervals and can capture patterns such as seasonal trends, cyclical fluctuations, and overall trends. The most fitting answer to the question is option B) When analyzing quarterly sales figures for a company. This is because such figures often adhere to business cycles and seasonal patterns that tend to be consistent year over year, making a short-term rate of change a reasonable estimate for the longer term. Daily temperature variations (A) and hourly stock price fluctuations (C) are subject to more volatility and external factors in the short term, whereas minute-to-minute heart rate changes during exercise (D) are often not indicative of long-term patterns due to the influence of immediate physical activity levels.