Simple regression is a fundamental Six Sigma tool used to analyze the relationship between two variables. It involves fitting a linear equation to the data, with one independent variable and one dependent variable. By understanding this relationship, organizations can make predictions, identify trends, and optimize processes. Simple regression helps in root cause analysis, quality improvement, and decision-making by quantifying the impact of changes in the independent variable on the dependent variable. This tool provides valuable insights into process behavior, supporting data-driven strategies to enhance efficiency, reduce variability, and achieve Six Sigma goals.
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