Lesson 4: Seasonal Models

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Overview:

This week we'll cover models for seasonal data and continue to study non-seasonal models too.

Learning Objectives:

After successfully completing this lesson, you should be able to:

  • Difference for trend and seasonality
  • Identify and interpret a seasonal ARIMA model
  • Distinguish seasonal ARIMA terms from simultaneously exploring an ACF and PACF
  • Create and interpret diagnostic plots