Correlation is a Six Sigma tool used to measure the strength and direction of the relationship between two variables. It quantifies how changes in one variable are associated with changes in another, helping to identify patterns and relationships within data. Positive correlation indicates that as one variable increases, the other also increases, while negative correlation indicates an inverse relationship. A correlation coefficient (r) ranges from -1 to +1, with values closer to -1 or +1 indicating stronger relationships. Correlation analysis is essential for root cause analysis, process optimization, and data-driven decision-making, enabling organizations to improve quality and efficiency.
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