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Six Sigma Green Belt Exam Prep

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All of the following are the components of the multiple regression model EXCEPT:
  1. slopes of trend lines
  2. correlation coefficients
  3. random error terms
  4. intercept
Explanation
Answer: B - A correlation coefficient is not a component of a multiple regression model.
Key Takeaway: Multiple regression analysis is used to study the effect of two or more independent (or explanatory) variables on the dependent variable. A multiple regression model is comprised of slopes of trend lines (corresponding to the independent variables), random error terms, and an intercept. Correlation coefficients are not considered to be components of a multiple regression model.
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