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

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Line of best fit is one of the most important concepts in regression analysis. Regression refers to a quantitative measure of the relationship between one or more independent variables and a ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

A class of three tests-overall lack-of-fit test, between-cluster lack-of-fit test, and within-cluster lack-of-fit test-are proposed for testing the lack of fit of a linear regression model applied to ...

The authors show how to test the goodness-of-fit of a linear regression model when there are missing data in the response variable. Their statistics are based on the L₂ distance between nonparametric ...

Capture relationships between data sets by graphing linear equations in Microsoft Excel 2007. Linear equations allow you to predict values within your data set and view the overall trend.