PHP Класс MathPHP\Statistics\Regression\LinearThroughPoint

A model with a single explanatory variable. Fits a straight line through the set of n points in such a way that makes the sum of squared residuals of the model (that is, vertical distances between the points of the data set and the fitted line) as small as possible. https://en.wikipedia.org/wiki/Simple_linear_regression Having data points {(xᵢ, yᵢ), i = 1 ..., n } Find the equation y = mx + b such that the line passes through the point (v,w) ∑((x-v)(y-w)) m = _____________ ∑(x-v)² b = w - m * v

Наследование: extends ParametricRegression, use trait MathPHP\Statistics\Regression\Methods\LeastSquares, use trait MathPHP\Statistics\Regression\Models\LinearModel

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Открытые методы

Метод	Описание
__construct ( array $points, array $force = [0, 0] )	Given a set of data ($points) and a point($force), perform a least squares regression of the data, such that the regression is forced to pass through the specified point.
calculate ( )	Calculates the regression parameters.

Описание методов

__construct() публичный Метод

This procedure is most frequently used with $force = [0,0], the origin.

public __construct ( array $points, array $force = [0, 0] )
$points	array
$force	array	Point to force regression line through (default: origin)

calculate() публичный Метод

Calculates the regression parameters.

public calculate ( )