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Lean Six Sigma in Manufacturing
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Module 5
Modeling Relationships with Regression
1
Scatter Plots and Correlation
Visualize relationships between variables using scatter plots and interpret the correlation coefficient.
2
Linear Regression for Manufacturing Process Analysis
Build and interpret a simple linear regression model for a manufacturing process variable.
3
Predictive Modeling with Multiple Regression
Develop a multiple regression model to predict a quality outcome from several process parameters.
Residual Analysis for Regression Model Validation
Validate regression model assumptions and assess model adequacy using residual analysis.
5
Predictive Modeling: Identifying Process Drivers and Predicting Outcomes
Use a validated regression model to identify vital process drivers and predict outcomes for a given set of parameters.
Previous module
Hypothesis Testing for Root Cause Analysis
Next module
Screening and Characterizing Factors with DOE