The Regression Test is a hypothesis test that determines whether there is a correlation between two paired sets of continuous data. It is useful for determining if changes in Y can be attributable to a particular X. Regression produces a “prediction equation” that estimates the value of Y that can be expected for any given value of X within the range of the data set.

An example would be to test if rainfall and crop yield were correlated and then to calculate approximately how much water is required to achieve the desired yield.

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Elisabeth Swan

Elisabeth is a Managing Partner & Executive Advisor at GoLeanSixSigma.com. For over 25 years, she's helped leading organizations like Amazon, Charles Schwab and Starwood Hotels & Resorts build problem-solving muscles with Lean Six Sigma to achieve their goals.

Tracy O'Rourke

Tracy is a Managing Partner & Executive Advisor at GoLeanSixSigma.com. For almost 20 years, she's helped leading organizations like Washington State, Cisco and GE build problem-solving muscles with Lean Six Sigma to achieve their goals.