Saturday, November 15th, 2014
I’ve been looking for a good derivation of linear least squares. Linear Least Squares attempts to fit a straight line to data by minimising the error between the data and the fitted line.
The fitted line is usually described in the following format:
y=mx+c
Here’s a good derivation
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