SARIMA Model (Seasonal ARIMA) is an extension of the ARIMA (Auto Regressive Integrated Moving Average) model that accounts for seasonality in time series data. The SARIMA model is used when your time series data exhibits seasonal patterns, meaning the data shows regular, predictable patterns that repeat over specific periods (such as daily, weekly, monthly, etc.). In this case, we analyze a variable called Rate using the SARIMA model.

The following is the RStudio syntax for performing SARIMA. I created this to fulfill my college assignment.