The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Least squares regression line example Suppose we wanted to estimate a score for someone who had spent exactly 2.3 hours on an essay. I’m sure most of us have experience in drawing lines of best fit, ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons or coding required.

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...

The sum of squares is a statistical measure used in regression analysis. Learn how to calculate the sum of squares and when to use it.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

The residual sum of squares (RSS) is a statistical technique used to measure the variance in a data set that is not explained by the regression model.