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What is Multiple Linear Regression in Six Sigma about?

Multiple linear regression is used to create a model of the effect on an output by the variation in two or more inputs. It extends simple linear regression by allowing for more than one independent variable. The dependent variable (Y) is modeled as a linear combination of the independent variables (X) plus an error term. Multiple linear regression can be used in the Analyze phase of DMAIC to study the relationship between a dependent variable and multiple independent variables.

Author

Sunil

Language

EN