Polynomial regression is normally represented in the form of

f( x ) = c_0 + c_1 x + c_2 x^2 ⋯ c_n x^n

where n is the degree of the polynomial, c is a set of coefficients.

If you see the below image, the third output of the polynomial regression learner node provides both coefficient and exponent values associated with a particular variable.