Reputation: 2559
I got in R after glm():
Coefficients:
Estimate Std. Error t value Pr(>|t|)
D_N -1.405e+05 3.451e+04 -4.072 0.000166 ***
D_q 1.405e+05 3.451e+04 4.072 0.000166 ***
D_Rho -9.368e-01 2.455e-01 -3.815 0.000375 ***
Dn_N 4.958e+05 1.265e+05 3.919 0.000271 ***
Dn_q -4.958e+05 1.265e+05 -3.919 0.000271 ***
Dn_Rho 3.777e+00 5.567e-01 6.785 1.3e-08 ***
The question is: The coefficient of D_N and D_q or Dn_N and Dn_q have the same values but with opposite sign.
Is this a valid model? Still both coefficients are the same with opposite sign?
More info: D_N and D_q or Dn_N and Dn_q in the database have the same values but with opposite sign.
Upvotes: 0
Views: 70
Reputation: 356
I'd do the following to verify the model after getting what you just showed:
fit2 <- glm(Y~I(D_q-D_N)+I(Dn_N-Dn_q)+D_Rho+Dn_Rho)
Perhaps then, you could compare both models using Akaike's coefficient:
AIC(yourfit, fit2)
And draw conclussions... Only you know if that makes physical sense... Also, check if the independent variables present some sort of colinerity...
Upvotes: 1