Stepwise Multiple Linear Regression
Step 1 Shows the effect of including all the explanatory variables into the model,
with the individual p values.
Step 2 Shows the effect of removing the least explanatory variable from the model.
...and so on.
In most species/environmental datasets it is unusual for more than three variables to
be included in any explanatory model.
A common problem with environmental data sets is that of
explanatory variables. ECOM automatically checks for multicollinearity and, if
detected, will take to you a screen that details the problem and allows you to remove
one of the correlated variables.
Copyright 2004 PISCES Conservation Ltd