How can i include error calculation in the linear regression in a for loop?

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)

[p(i,:),bint(i,:)] = polyfit(X,Y,1)

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,

Answer 1

[the cyclist]

The regress function outputs confidence intervals for the slope and intercept.