Orthogonal explanatory variables. suppose in the modelx2 to xk are all uncorrelated. such variables are called orthogonal variables. if this is the case:

a. what will be the structure of the (x'x) matrix?

b. how would you obtain = (x'x) - 1x'y?

c. what will be the nature of the var-cov matrix of?

d. suppose you have run the regression and afterward you want to introduce another orthogonal variable, say, xk 1 into the model. do you have to recompute all the previous coefficients 1 to k? why or why not?

Question

Gabriela

Mathematics

21 August, 16:41

Orthogonal explanatory variables. suppose in the modelx2 to xk are all uncorrelated. such variables are called orthogonal variables. if this is the case:

a. what will be the structure of the (x'x) matrix?

b. how would you obtain = (x'x) - 1x'y?

c. what will be the nature of the var-cov matrix of?

d. suppose you have run the regression and afterward you want to introduce another orthogonal variable, say, xk 1 into the model. do you have to recompute all the previous coefficients 1 to k? why or why not?

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Isla Massey · Answer 1

d. suppose you have run the regression and afterward you want to introduce another orthogonal variable, say, xk 1 into the model. do you have to recompute all the previous coefficients 1 to k? why or why not?