InnoVenton and The Downstream Chemicals Technology Station
Multiple Regression is one of the most widely used statistical tools, the reason for this is convincing: it is remarkably efficient for answering questions involving many variables.
This technique is applicable to many subject fields, from agriculture to medicine.
The data in this example is obtained from a study of the relationship between the amount of rainfall on the yield of corn in the USA.
The raw data was presented in the following format:
There is strong evidence that the relationship between yield and rainfall is not linear. The term in the regression model which describes the curvature is significant (p=0.014). A graphical representation of corn yield vs rainfall can be seen as follows:
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