Correlation analysis is a statistical method used to assess the strength and direction of the relationship between two variables. It provides insights into how changes in one variable may relate to changes in another, which is critical for understanding patterns and predicting outcomes in data. This analysis can be foundational for hypothesis testing, as it helps identify whether observed associations are statistically significant or due to random chance.
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