MathPHP\Statistics\Regression\Regression Class Reference

Base class for regressions. More...

Inheritance diagram for MathPHP\Statistics\Regression\Regression:

Public Member Functions
	__construct (array $points)
	Constructor - Prepares the data arrays for regression analysis. More...
	evaluate (float $x)
	Evaluate the regression equation at x Uses the instance model's evaluateModel method. More...
	getPoints ()
	Get points. More...
	getXs ()
	Get Xs (x values of each point) More...
	getYs ()
	Get Ys (y values of each point) More...
	getSampleSize ()
	Get sample size (number of points) More...
	yHat ()
	Ŷ (yhat) A list of the predicted values of Y given the regression. More...

Protected Attributes
	$points
	$xs
	$ys
	$n

Detailed Description

Base class for regressions.

Constructor & Destructor Documentation

__construct()

MathPHP\Statistics\Regression\Regression::__construct

(

array

$points

)

Constructor - Prepares the data arrays for regression analysis.

Parameters

array

$points

[ [x, y], [x, y], ... ]

Member Function Documentation

evaluate()

MathPHP\Statistics\Regression\Regression::evaluate

(

float

$x

)

Evaluate the regression equation at x Uses the instance model's evaluateModel method.

Parameters

float

$x

Returns

float

getPoints()

MathPHP\Statistics\Regression\Regression::getPoints

(

)

Get points.

Returns

array

getSampleSize()

MathPHP\Statistics\Regression\Regression::getSampleSize

(

)

Get sample size (number of points)

Returns

int

getXs()

MathPHP\Statistics\Regression\Regression::getXs

(

)

Get Xs (x values of each point)

Returns

array of x values

getYs()

MathPHP\Statistics\Regression\Regression::getYs

(

)

Get Ys (y values of each point)

Returns

array of y values

yHat()

MathPHP\Statistics\Regression\Regression::yHat

(

)

Ŷ (yhat) A list of the predicted values of Y given the regression.

Returns

array

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The documentation for this class was generated from the following file:

• src/Statistics/Regression/Regression.php