How can i include error calculation in the linear regression in a for loop?
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Hi everyone,
I have two arrays X(150,3) and Y(150,3). does any one know how to calculate regression for each row including uncertainity in the slop?
I tried
for i=1:length(X)
b_err(i,:) = sqrt(diag((bint(i,:).R)\inv(bint(i,:).R'))./bint(i,:).normr.^2./bint(i,:).df);
end;
but b_err give unrealstic values.
Thank you all,
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