Practice Quiz

Six Sigma Green Belt

Category - Black Belt

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Which of the following statements about multiple regression models is true?
  1. data gathered is assumed to be random and independent
  2. multiple independent variables are used
  3. multiple dependent variables are used
  4. random error terms are not necessary in the model
Explanation
Answer: B - Multiple independent variables are used in multiple regression models.

Key Takeaway: In multiple regression, more than one independent variable is included in constructing a model (unlike simple linear regression). For example, the performance of a vehicle (dependent variable) can be predicted from a multiple regression model that examines a number of independent variables such as gas mileage, braking distance, rust resistance, and battery efficiency.
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