Intro to Time Series
Residuals are the differences between observed values and the values predicted by a statistical model. They represent the portion of the data that cannot be explained by the model and are essential for assessing the model's performance and validity. Understanding residuals helps in evaluating how well a model fits the data, which is crucial in regression analysis, diagnostic testing, and checking for white noise processes.
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