Learn how to use the mean absolute error (MAE) to evaluate your linear regression model's performance and accuracy. Find out how to calculate, interpret, and improve MAE.

Understanding standard error is crucial when you're navigating the complex world of regression analysis. It's a measure that reflects the accuracy of your predictions ...

There are multiple ways to conduct linear regression, but one of the most simple and popular methods is through Microsoft Excel. This article will walk you through the step-by-step process of ...

A few blog entries back I showed the MDX I used to calculate a seasonally-adjusted total in ... are a lot more useful with seasonally-adjusted values, we can use simple linear regression (and it has ...

This project creates a Linear regression model function which does not uses Scikit Learn. Develop My Regression Function which handles multiple output datasets, implements simple linear and Polynomial ...

Abstract: The development of embedded systems for monitoring is currently developing rapidly, often with the development of the Internet of Things (IoT). One of the monitoring systems that are widely ...

Last month we explored how to model a simple relationship between two variables, such as the dependence of weight on height 1. In the more realistic scenario of dependence on several variables, we ...