Discussion Questions

1. Give three examples showing why a business needs to forecast.

2. Give three examples from your life in which you may forecast the future.

3. Describe the steps involved in forecasting.

4. Identify the key differences between qualitative and quantitative forecasting methods. Which is better in your opinion and why?

5. What are the main types of data patterns? Give examples of each type.

6. Describe the different assumptions of time series and causal models.

7. What are the differences among models that forecast the level, trend, and seasonality?

8. Explain why it is important to monitor forecast errors.

9. Explain some of the factors to be considered in selecting a forecasting model.

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