Correlation analysis is a statistical method used to evaluate the strength and direction of the relationship between two variables. This technique helps identify patterns that may indicate whether a change in one variable might correspond with a change in another, allowing for better decision-making and forecasting. It plays a crucial role in differentiating between signals—meaningful trends or patterns—and noise—random fluctuations that do not provide valuable information.
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