55
ECOM II
detected, will take to you a screen that details the problem and allows you to remove
one of the correlated variables.
9.3
Backward Stepwise Linear Regression
Backward stepwise regression starts with all explanatory variables included the
model. It then removes the least significant explanatory variable, that is, the one with
the highest p value, at each step, until all variables have been added. By scrutinising
the overall fit of the model variables will be automatically removed 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 Backward Stepwise. A list of
dependent variables (usually species) is displayed.
Select the species against which you wish to test your environmental variables.
Click OK to run the analysis and display the results on the Regression tab.
The results report shows the sequences of the procedure as Steps:
Copyright 2004  PISCES Conservation Ltd





Actions web hosting footer




 

 

 

 

Home | About Us | Network | Compare Plans | Support | FAQ | Control Panel | Order Online | Sitemap | Contact

Terms Of Service

servlet web hosting

 

Our web partners: Web Hosting PHP Jsp Web Hosting Java Web Hosting Jsp Web Hosting Cheapest Web Hosting  Java Web Hosting

Cheap Web Hosting Java Hosting Cheapest Hosting Quality Web Templates Best Web Templates Web Design Templates

Java Web Hosting Cheap Hosting Cheap Web Hosting Jsp Web Hosting Tomcat Web Hosting

Quality Web Hosting Best Web Hosting Java Web Hosting

Actionswebhosting.com Business web hosting division of Vision Web Hosting Inc. All rights reserved.