Fitting a Linear Line to Data Points

A line of best fit is a line that is the best approximation of a given set of data. This line can be linear, exponential, logarithmic, polynomial, a power average or a moving average and will depend on the type of data you have and the purpose of the approximated line. Your dataset can even be in 3 dimensions.

I'm only going to look at 2D data (ordered pairs) and the Least Square Method to find a straight line (y=mx+c) that best fit the given data points.



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