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Given x = [ 1 , 2 , 3 , 4 ] and y = [ 6 , 5 , 7 , 1 0 ]

Given x =[1,2,3,4] and y =[6,5,7,10], please find a line of best fit
that satisfies y = B1+ B2x. Your task is to solve the values of B1 and B2
using the least squares approach and applying the partial
derivatives.
Please use Python but do not use Sci-kit learn, Scipy, etc libraries
where you can solve this in a black box approach. Your task here will
be to implement this yourself in Python. You may use Numpy (but
not any solver functions in Numpy) and Sympy libraries. If you would
like to use another library please ask first.

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