skip to Main Content

The Multiple Regression Test is a hypothesis test that determines whether there is a correlation between two or more values of X and the output, Y, of continuous data. It is useful for determining the level to which changes in Y can be attributable to one or more Xs. Multiple Regression produces a “prediction equation” that estimates the value of Y that can be expected for given values of one or more X values within the range of the data set.

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

For a better understanding of the Multiple Regression Test, check out our Black Belt Training & Certification Course!

Close search
×Close search