The __________ blankmethod is a smoothing technique based on computing the average from a fixed number of the most recent observations.

Multiple Choice

moving average

exponential smoothing

causal regression

linear regression

The moving average method is a smoothing technique based on computing the average from a fixed number of the most recent observations.

Would you like details or have any questions? Here are some related questions for further exploration:

1. What are the main differences between moving average and exponential smoothing?
2. How do you calculate a simple moving average?
3. What are the applications of the moving average method in time series analysis?
4. Can you provide an example of when you might use causal regression?
5. How does linear regression differ from moving average and exponential smoothing?
6. What are the advantages of using moving averages in forecasting?
7. What are the limitations of the moving average method?
8. How does the choice of the number of periods in a moving average affect the results?

**Tip:** When choosing a smoothing technique, consider the nature of your data and the specific patterns you need to capture.

Explore the moving average method in time series analysis, a smoothing technique that computes the average from a fixed number of the most recent observations. Learn its applications, differences from exponential smoothing, advantages in forecasting, and limitations.

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