1. The problem statement, all variables and given/known data Im trying to construct a function in matlab that models linear least squares model fitting through the use of normal equations. 2. Relevant equations Normal equation (A'*A*c)=(A'*y) A= [column vector of all x ; column vector of all 1] y= [column vector of all y] c = [b;a] where a&b are coefficients of the best fit line 3. The attempt at a solution function c=mregress(x,y) A=[x 1] B=[y] c=(A'*A)\(A'*B); Error in ==> mregress at 2 A=[x 1] I am very new to matlab and dont know much about it. I think the problem is representing x a column vector and 1 is also a column vector of 1. How do I represent this?