Introduction The data we have frequently cannot be fitted linearly, and we must use a higher degree polynomial (such as a quadratic or cubic one) to be able to fit the data. When the relationship between the dependent ($Y$) and the independent ($X$) variables is curvilinear, as seen in the following figure (generated using numpy based on a quadratic equation), we can utilise a polynomial model. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 import pandas as pd import numpy as np import matplotlib.

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