Environmental Monitoring and Control
Residuals are the differences between observed values and the values predicted by a statistical model. They serve as a key indicator of how well a model fits the data, highlighting discrepancies that can inform adjustments or improvements in the modeling process. Analyzing residuals can help identify patterns, outliers, and potential violations of model assumptions, making them essential for evaluating statistical methods applied to environmental data.
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