In statistical quality control, the regression control chart allows for monitoring a change in a process where two or more variables are correlated. The change in a dependent variable can be detected and compensatory change in the independent variable can be recommended. Examples from the Post Office Department provide an application of such models.[1]

Difference

Regression control chart differs from a traditional control chart in four main aspects:

  • It is designed to control a varying (rather than a constant) average.
  • The control limit lines are parallel to the regression line rather than the horizontal line.
  • The computations here are much more complex.
  • It is appropriate for use in more complex situations. [1]

References

  1. 1 2 Mandel, B.J (1969) "The Regression Control Chart", Journal of Quality Technology, 1 (1), 1–9
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