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Design of Experiments (DOE) and Multiple Regression

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Design of experiments (DOE) can be used in basic decision making to determine which of two choices is better, while multiple regression can be used to show relationships between independent and dependent variables. Please provide any other examples.

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Solution Summary

This solution briefly explains two main uses of multiple regression with respect to uses of design experiments. References used are included.

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The main aim of Design of Experiments (DOE) is to run the minimum number of experiments needed to allow the investigation of possible correlations between the X's and the Y's. Thus, the data from a design is the foundation which allows the construction of a correlation (regression) equation. On the other hand the object of a regression is to identify correlations between predictor (X's) and response (Y's) the object being to use the resultant equation as a means of identifying how changes in the X's will impact the Y's. ...

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