Click to add data points and see their linear regression. Or

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The same set of points with X and Y coordinates independently normalized to the range [-1..1]. The light lines are hypotheses tested by the gradient descent algorithm.

The least squares cost function of the normalized data. Each point corresponds to a linear equation. The brighter the point, the better it fits the data. Hover the mouse to see what equation each point corresponds to.