This Research Paper discusses the methods of linear regression analysis that have
been found most useful in forest research. Among the topics treated are the fitting and
testing of linear models, weighted regression, confidence limits, covariance analysis,
and discriminant functions.
The discussions are kept at a fairly elementary level and the various methods are
illustrated by presenting typical numerical examples and their solution. The logical
basis of regression analysis is also presented to a limited extent.