[kazinator]

Squared error represents the underlying belief that errors in various dimensions, or errors in independent samples, are linearly independent. So they add together like orthogonal vectors, forming a vector whose length is the square root of the sum of the squares. Minimizing the square error is a way of minimizing that square root without the superfluous operation of calculating it.