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In PYTHON Given two data sets: x = [1, 2, 3, 4, 5] y = [14, 9, 8, 7, 7, 6] We already know that

In PYTHONimage text in transcribed

Given two data sets: x = [1, 2, 3, 4, 5] y = [14, 9, 8, 7, 7, 6] We already know that we want to fit this model y = a/x + b/(x*x) + c, but we need to find the value of a, b, and c. If you are only allowed to use linear regression class from sklearn.linear_model, what would be your feature matrix? Please note each column should represent one feature. Insert a table to show your answer below. Hint: you can use numpy to calculate your answer quickly

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