53
ECOM II
Click OK to run the analysis and display the results on the Regression tab.
With backward stepwise regression, because variables are removed, rather than being
added there is no minimum probability for removal and thus the probability boxes are
not displayed.
Click OK to run the analysis and display the results on the Regression tab.
9.2
Foward Stepwise Linear Regression
Forward stepwise regression starts with no variables in the model. It then adds the
most significant explanatory variable, that is, the one with the lowest p value, at each
step, until all variables have been added. By scrutinising the overall fit of the model
variables will be automatically added (and, if they do not improve the fit, removed
again) until the optimum model is found.
Load both your species and your environmental datasets as described in
Opening a data set
From the Regression menu on the Toolbar select Forward Stepwise. A list of
dependent variables (usually species) is displayed.
The results report shows the sequences of the procedure as Steps:
Copyright 2004  PISCES Conservation Ltd





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