Conversations (1)
The forecasting model uses three-year historical data to project five years forward, which assumes that patterns will continue. But if the historical period includes an anomaly (e.g., a one-time pandemic effect), the forecast will perpetuate that anomaly. Should we either exclude anomalies or should we use explicit assumptions to override the historical pattern?
Same conclusion here.
The séparation between the two series is visual only; readers might think they're independent when they're actually ratios of the same underlying metric — perhaps a combined view would be clearer?