[R] Calculating & plotting a linear regression between two correlated variables

[B77S]

I know this isn't what you are asking, but have you considered examining the
relationship between dA and the community density excluding dA?    


JulieV wrote
> 
> Hi Josh,
> 
> Thanks for your response ! 
> 
> Actually, I already tried to plot it with a "classical" regression and I
> know the relation is linear:
> 
> dA = 0.765 * dCOM - 0.089 
> p(slope) < 0.0001 
> p(intercept) = 0.0003
> 
> The fact is that I can not use these results as my variables dA and dCOM
> are correlated (as mentioned above, Eq.1). What I need to find out is
> which correction I should do on my data, and how, to be able to calculte
> the regression p-values correctly with Linear Mixed Models.
> 
> I am interested in this because I know that my species decline at
> different rates when my community is declining. 
> For example, with decreasing values of dCOM, dA reaches 0 before dB.
> 
> 
> Julie
> 


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