I am wondering if it possible to normalize the slope of a linear regression to its intercept to allow for valid between-group comparisons.
Here is the scenario: I need to compare the slopes of biomass increase among NAFO divisions of Northwest Atlantic cod. However, the initial division biomass is a confounding factor that may influence the slope of the regression model. How can I normalize the slope to the initial biomass of a given division (e.g. 2J3KL)? Normalizing will allow me to compare the slope of one division to another (e.g. 3NO) with respect to distance between the divisions without the confounding effect of division size. Thanks Adam Harding -- Adam Harding Marine Biology & Oceanography Dalhousie University | Halifax NS [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.