1) Find the coefficients using the Linear Least Squares model:Write a function `designmatrix` which takes as input a numpy array with shape (n,) that stores the values for t, and outputs the design matrix A, which leads to aleast-squares fit to the equation above.def designmatrix(t):#t is a 1d numpy array with shape (n,) storing [t0, t1, t2, ...]# compute A, a 2d numpy array, following the model abovereturn A
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