Regression analysis is a vital Six Sigma tool for understanding relationships between variables and making predictions. It quantifies the impact of independent variables on a dependent variable, aiding in process optimization. Simple linear regression examines one predictor, while multiple linear regression considers several predictors. By modeling these relationships, organizations can identify key factors influencing outcomes and make data-driven decisions. Regression analysis helps in root cause analysis, forecasting, and improving process efficiency. It’s essential for enhancing quality, reducing variability, and achieving Six Sigma goals by providing actionable insights into complex data relationships.
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