Approximating a linear regression

Given a list of points, we can estimate the best fit line using a handy library, Statistics.LinearRegression.

It computes the least square difference between points to estimate the best fit line. An example of a linear regression of points can be seen in the following figure:

Approximating a linear regression

A best-fit line is drawn through five points using linear regression

Getting ready

Install the appropriate library using cabal as follows:

$ cabal install statistics-linreg

How to do it…

  1. Import the following packages:
    import Statistics.LinearRegression
import qualified Data.Vector.Unboxed as U
  2. Create a series of points from their coordinates, and ...

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