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
| Parameter | Type |
|---|---|
x | number |
Returns
number