const data = [
    {
        x : 5,
        y : 8
    },
    {
        x : 9,
        y : 12
    }
    // and so on...
];         

//This library is a UMD module (thanks webpack!)
import PolynomialRegression from "js-polynomial-regression";
//Factory function - returns a PolynomialRegression instance. 2nd argument is the degree of the desired polynomial equation.
const model = PolynomialRegression.read(data, 3);
//terms is a list of coefficients for a polynomial equation. We'll feed these to predict y so that we don't have to re-compute them for every prediction.
const terms = model.getTerms();
//10 is just an example of an x value, the second argument is the independent variable being predicted.
const prediction = model.predictY(terms, 10);