RegressionResult Class

A polynomial fitted by least squares: y = c0 + c1 x + c2 x² + ...

public sealed class RegressionResult

Properties

Name	Description
Coefficients	Gets the coefficients, from the constant term to the term of the highest degree.
Degree	Gets the degree of the polynomial.
RSquared	Gets the coefficient of determination: the share of the variance of y that the fit explains, from 0 to 1.

Gets the coefficients, from the constant term to the term of the highest degree.

public IReadOnlyList<double> Coefficients { get; }

Gets the degree of the polynomial.

public int Degree { get; }

Gets the coefficient of determination: the share of the variance of y that the fit explains, from 0 to 1.

public double RSquared { get; }

Name	Description
Evaluate(double)	Evaluates the polynomial.
ToString()	Returns the equation, such as `y = 1.5x + 2 (R² = 0.98)`.

Evaluates the polynomial.

public double Evaluate(double x)

double The fitted y value.

Returns the equation, such as y = 1.5x + 2 (R² = 0.98).

public override string ToString()

string The equation.