Hi, Is there any way to estimate a DEPENDENT variable through a GLM/LM model?
Suppose I have the linear model: y=a0+a1*x1+a2*x2 (a0=1, a1=0.6, a2=0.8, x1~N(1,1), x2~N(0,1)). The alphas and the auxiliary variables are given and I have to estimate y. The point is if I estimate it, let¹s say algebraically, I get high variances that do not decrease as sample sizes increases... Is the any other way to do this?... It is not compulsory to use these alphas but my Y is unknown... Any ideas?... Thanks, Ana [[alternative HTML version deleted]]
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