Note: This was originally posted by an inactive account. Content was preserved by moving under an admin account.
Originally posted by: michaelsloweyVictor, finally figured this one out.
This node takes a set of data and applies a linear regression algorithm to that data set, comes up with the m and b values and applies that to the data set to determine the trend of the data over a period of time.
You may be able to see the trend by eye if you plot the data values, but if you have 100,000 subs each with a different trend you'd be unable to eyeball them all so i wanted a flag or a value that we could divine in a graph to segment the customer as a growing or diminishing customer.
I'm using this in a churn graph to determine over a period of time if a customer is reducing or increasing the number of calls made. A negative m value is decreasing and a positive m is
increasing..
Mick
Attachments:
linear_regression.zip