Provides a mathematical method for establishing the best fit, straight-line equation relating a process output Y to a process input X. Simple regression allows you to predict the value of the output Y for any value of the input X.
|When to Use||Purpose|
|Start of project||Can be very useful for comparing a proposed or existing gage to a highly qualified device (such as a certified lab). A high r-squared value provides reasonable certainty that the test gage matches the reference gage.|
|Start of project||Assists in developing alternative measurement systems in cases when a variable is difficult or expensive to measure; highly correlated and logically linked alternative variables can be used as substitute variables.|
|Mid-project||Investigate the relationship between a process input and the process output, either keeping the input as a potential leverage variable or setting it aside as most likely not important.|
|Mid-project||Find the optimal setting of the input variable.|
|End of project||If used earlier as part of the validation of the measurement system, it should be reapplied to the improved process to again validate the measurement system.|
Continuous Y, numeric X