News Feed
Sections




News Archive
Looking for more information on how to do PHP the right way? Check out PHP: The Right Way

Ian Barber's Blog:
Linear Regression in PHP
October 13, 2011 @ 12:57:09

Ian Barber has a new post about an interesting method for determining the "line" that results follow in your statistics - linear regression in PHP (complete with code samples).

There are a lot of problems that fall under predicting these types of continuous values based on limited inputs - for example: given the air pressure, how much rain will there be, given the qualifying times, how quick will the fastest lap be in the race. By taking a bunch of existing data and fitting a line, we will be able to make a prediction easily - and often reasonably correctly.

He defines two pieces of information, the intercept and the gradient, and how they relate to minimize the "square error" that can come from getting the square root of your values based on the difference between an actual and predicted value. Based on a sample data set, he comes up with these results, showing the trend line for the points given. He points out a few issues with the method and corrects them with a few tweaks to his original algorithm.

0 comments voice your opinion now!
linear regression algorithm square error


blog comments powered by Disqus

Similar Posts

Ian Barber's Blog: Linear Regression in PHP (part 2)

Lorna Mitchell's Blog: SugarCRM Installation Error

DevShed: Error Handling in PHP - Coding Defensively

DevShed: Error Handling in PHP - Coding Defensively

PEAR Blog: Fixing "unsupported protocol"


Community Events





Don't see your event here?
Let us know!


language threedevsandamaybe api wordpress application release series community developer library bugfix project introduction interview framework code laravel configure podcast list

All content copyright, 2014 PHPDeveloper.org :: info@phpdeveloper.org - Powered by the Solar PHP Framework