Theil’s U-statistic for errors, using a regression forecast, turns out to be > 1.00. What does...
- Theil’s U-statistic for errors, using a regression forecast, turns out to be > 1.00. What does that mean? U = (Standard error of the forecast model being used) / (Standard error of the naïve forecast model)
| a. |
The naïve method produces better results than the regression technique being used |
|
| b. |
The naïve method is as good as the regression forecasting technique being used. |
|
| c. |
The regression forecasting technique being used is better than the naïve method. |
|
| d. |
E=mc2 |
Homework Answers
c) The regression forecasting technique being used is better than the naïve method.
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Theil’s U-statistic for errors, using a regression forecast,
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