What is the practical significance of having a small autocorrelation coefficient in a time series model?
A small autocorrelation coefficient in a time series model indicates that the model's residuals are not correlated with each other, which means that the model is accurately capturing the underlying structure of the data. This makes the model more reliable for forecasting and analysis.