Practice Seasonal Models: Sarima And Sarimax (10.6) - Time Series Analysis and Forecasting

Practice: Seasonal Models: SARIMA and SARIMAX

Lesson 10.6Time Series Analysis and Forecasting

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9 questions

Flashcard drill
2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does SARIMA stand for?
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Think about autoregressive components in time series.
Question 2.
True or False: SARIMAX allows the incorporation of external variables into the forecast.
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Recall how SARIMAX extends SARIMA.
3Question 3.
What does the 's' in the SARIMA parameters refer to?
- Season
- Samples
- Smoothing
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Think about the frequency of seasonal patterns.
4Question 4.
True or False: SARIMAX is limited to only seasonal components.
- True
- False
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Consider the definition of SARIMAX.
Question 5.
You are tasked with forecasting quarterly sales for a clothing store that experiences spikes during the holiday season and also has data on local economic indicators. Which model would you choose—and why?
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Consider the need for capturing seasonality and utilizing external data.
Question 6.
What process would you undertake to determine the best p, d, q, P, D, and Q values for a SARIMAX model?
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Think about the steps needed for fine-tuning a forecasting model based on empirical analysis.

5 more questions in this section. Enroll free to practise them all.