![]() Polynomial terms are independent variables that you raise to a power, such as squared or cubed terms. The most common method is to include polynomial terms in the linear model. First, let's create a fake dataset and then create a scatterplot to visualize the data: import pandas as pd import matplotlib.Ĭurve Fitting using Polynomial Terms in Linear Regression Despite its name, you can fit curves using linear regression. ![]() polynomials such as y = ax2 + bx3'2 + cx + + e. The highest-order polynomial that Trendline can use as a fitting function is a regular polynomial of order six, i.e., y = a圆 + bx5 +cx4 + ak3 + ex2 +fx + g.
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