Hello,
I am work with two quadratic regression models
y=ax^2+bx+c with the function of lm.
y1= observed migration distance of butterflies(y1=a1x^2+b1x+c1)
y2= predicted migration distance of butterflies (based on body mass)
(y2=a2x^2+b2x+c2)
x= body mass of butterflies
Now I would like to check the two regression model differ
by testing if the coeffients (a, b, c) of the y1 and the y2 model differ
(null hypothesis: a1=a2 and b1=b2 and c1=c2)
Please kindly advise any significant test in R for the purpose.
Also, please kindly advise how to apply Bonferroni procedure in the test if
necessary.
Thank you in advance.
Elaine
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