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Hello Jairo,
Thank you for your feedback and for pointing that out!
To clarify, the key term in the question is “predictive models”, which refers to the need for forecasting or predicting future trends based on historical data. The question asks about capacity requirements for a new public transit system, and the data gathered over the past 15 years is meant to help predict future ridership patterns, population changes, and other factors that influence capacity.
Although the word “gauge” might seem to imply a measurement or assessment, the core task is still focused on using predictive models to make forecasts, which is why the correct approach is Time Series Forecasting. Time series models are designed to analyze data points collected over time (like ridership and weather patterns) to predict future values.
While the phrasing could be clarified, the question’s focus on predictive models aligns with using time series analysis to forecast future capacity needs.
We genuinely appreciate your attention to detail, and your feedback will help us improve the clarity of our content moving forward. If you have any additional questions or suggestions, please reach out anytime!
Best regards,
Nikee @ Tutorials Dojo
