Part one of this series ended by noting three elements that were lacking in the Simple Linear Regression class. In this article, the author, Paul Meagher, addresses these shortcomings with PHP-based probability functions; demonstrates how to integrate output methods into the SimpleLinearRegression class; and creates graphical output. He then tackles these issues by building a data-exploration tool, designed to plumb the depths of information contained in small- to medium-sized datasets. (In part one, the author demonstrated how to develop and implement the heart of a simple linear regression algorithm package using PHP as the implementation language.) Read Simple linear regression with PHP: Part 2 tutorial here.

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