Question: 2. Let consider given points: (1,1), (3,2), (4,3), (5,6). (a) Find the best least square t by a linear function (linear regression). Compute the sum

2. Let consider given points: (1,1), (3,2), (4,3), (5,6). (a) Find the best least square t by a linear function (linear regression). Compute the sum of square errors. (b) Find a polynomial of degree 3 that interpolates the points. (0) Find the best least squares exponential t y = plepi't. Compute the sum of square errors and compare with result from (a)

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