curve fitting Flashcards
1
Q
What is the linear least squares fit
A
A linear least squares fit constructs a straight line so as to minimize
the sum of the squares of mismatches between the fit and the data
e = the difference. between the predicted point = and the actual point = y - (mx + b)
we end up with the formula
b =. (sum(y) -msum(x))/n
