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The task is phrased as linear regression: finding a straight line that regresses our set of points. In this article, we will look into 3 solutions coded in Python and NumPy and compare them. RANSAC is a method of finding a consensus that is based on random samples. PCA Analysis is often used for dimensionality reduction when we need to find an affine transform of a point in a way of reducing the variance in a given point in most cases. The Principal Component Analysis (PCA), PCAA, PCAPCA and PCA are all solutions to the problem.