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+ Linear regression is a simple statistical process and so is easy to carry out.

+ Some non-linear relationships can be converted to linear relationships using simple transformations.

- The error structure may not be suitable for regression (independent, identically distributed).

- The regression model used may not be appropriate or an important variable may have been omitted.

- The residual error may be too large.

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Q: What are some of the advantages and disadvantages of making forecasts using regression methods?
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