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In this tutorial, we will learn how to calculate and plot a linear regression line, and use it to visualize a considerable number of points without cluttering a chart. We will also look at the limitations of the linear regression line.<\/p>\n
Remark<\/b> I am using JavaScript Statistical Library (jStat<\/a>) to do all the statistical heavy lifting, such as the calculation of the mean, the standard deviation, and the population correlation coefficient.<\/i><\/p>\n If you are not familiar with the linear regression here is a quick summary: \n
\nThe Highcharts Stock<\/a> package has built-in support for advanced technical indicators<\/a> including linear regressions<\/a> and more. This blog article, however, focuses on how you can apply custom statistical analysis on the chart data, and render it using Highcharts.<\/p>\n
\nLinear regression<\/a> is the most popular regression analysis technique<\/a>. It helps us to make predictions and find a causal effect relation by exploring the relationship (correlation) between continuous dependent variables and continuous or discrete independent variables. For example, the demo below visualizes a relationship between the football athletes\u2019 weight and the height of the 2012 Olympic event:
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