PHP Class MathPHP\Statistics\Regression\WeightedLinear

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

Inheritance: extends ParametricRegression, use trait MathPHP\Statistics\Regression\Models\LinearModel, use trait MathPHP\Statistics\Regression\Methods\WeightedLeastSquares

Show file Open project: markrogoyski/math-php

Public Methods

Method	Description
__construct ( array $points, array $ws )
calculate ( )	Calculates the regression parameters.

Method Details

__construct() public method

public __construct ( array $points, array $ws )
$points	array
$ws	array	Weights

calculate() public method

Calculates the regression parameters.

public calculate ( )