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Interface: LinearFit

Defined in: stats/regression.ts:8

An ordinary-least-squares fit of y = slope·x + intercept.

Properties

intercept

ts
intercept: number;

Defined in: stats/regression.ts:10


n

ts
n: number;

Defined in: stats/regression.ts:16

Points used (non-finite pairs are skipped).


r2

ts
r2: number;

Defined in: stats/regression.ts:12

Coefficient of determination, 0..1.


slope

ts
slope: number;

Defined in: stats/regression.ts:9


stderr

ts
stderr: number;

Defined in: stats/regression.ts:14

Standard error of the residuals.

Methods

predict()

ts
predict(x): number;

Defined in: stats/regression.ts:18

Evaluate the fit at an x.

Parameters

ParameterType
xnumber

Returns

number

MIT licensed. WebGL2 required.