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What is the difference between a causal model and a time- series model? Give an example of when each would be used.
What are some of the problems and drawbacks of the moving average forecasting model?
How do you determine how many observations to average in a moving average model? How do you determine the weightings to use in a weighted moving average model?

Choose one of the forecasting methods and explain the rationale behind using it in real-life.
Describe how a domestic fast food chain with plans for expanding into China would be able to use a forecasting model.

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A Comparison of Time Series and Causal Models of Forecasting

Time series Models

Causal (Associative) Models

History (in terms of the components of time
Historical relationship...

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