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See Release Notes

  • Bug fixes for general core bugs in 3.10.x will end 8 November 2021 (12 months).
  • Bug fixes for security issues in 3.10.x will end 9 May 2022 (18 months).
  • PHP version: minimum PHP 7.2.0 Note: minimum PHP version has increased since Moodle 3.8. PHP 7.3.x and 7.4.x are supported too.

Differences Between: [Versions 310 and 311] [Versions 310 and 400] [Versions 310 and 401] [Versions 310 and 402] [Versions 310 and 403]

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Defines 1 class

LinearBestFit:: (5 methods):
  getValueOfYForX()
  getValueOfXForY()
  getEquation()
  linearRegression()
  __construct()


Class: LinearBestFit  - X-Ref

getValueOfYForX($xValue)   X-Ref
Return the Y-Value for a specified value of X.

param: float $xValue X-Value
return: float Y-Value

getValueOfXForY($yValue)   X-Ref
Return the X-Value for a specified value of Y.

param: float $yValue Y-Value
return: float X-Value

getEquation($dp = 0)   X-Ref
Return the Equation of the best-fit line.

param: int $dp Number of places of decimal precision to display
return: string

linearRegression($yValues, $xValues, $const)   X-Ref
Execute the regression and calculate the goodness of fit for a set of X and Y data values.

param: float[] $yValues The set of Y-values for this regression
param: float[] $xValues The set of X-values for this regression
param: bool $const

__construct($yValues, $xValues = [], $const = true)   X-Ref
Define the regression and calculate the goodness of fit for a set of X and Y data values.

param: float[] $yValues The set of Y-values for this regression
param: float[] $xValues The set of X-values for this regression
param: bool $const