Practice Seasonal Models: SARIMA and SARIMAX - 10.6 | 10. Time Series Analysis and Forecasting | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does SARIMA stand for?

💡 Hint: Think about autoregressive components in time series.

Question 2

Easy

True or False: SARIMAX allows the incorporation of external variables into the forecast.

💡 Hint: Recall how SARIMAX extends SARIMA.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does the 's' in the SARIMA parameters refer to?

  • Season
  • Samples
  • Smoothing

💡 Hint: Think about the frequency of seasonal patterns.

Question 2

True or False: SARIMAX is limited to only seasonal components.

  • True
  • False

💡 Hint: Consider the definition of SARIMAX.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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?

💡 Hint: Consider the need for capturing seasonality and utilizing external data.

Question 2

What process would you undertake to determine the best p, d, q, P, D, and Q values for a SARIMAX model?

💡 Hint: Think about the steps needed for fine-tuning a forecasting model based on empirical analysis.

Challenge and get performance evaluation