DMN is not optimized for machine learning algorithms, but it’s good enough for simple problems such as fitting a straight line to a set of data points, known as linear regression.  In this post we’ll look at two ways to do it.

Consider the table Dataset, a list of x-y pairs.  Here x represents the number of members in a group health insurance plan, and y represents the administrative cost of the plan as a percentage of claim value.  We would expect the admin cost percentage to decrease as the number of members increases, which is what we see when we graph the table.

Here we have 6 data points {x[i], y[i]}, and we want to find the best straight line fit, described as

y = m*x + b

where m is the slope of the line and […]