Linear Regression Using JavaScript Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique ...

Peter B. Imrey, Gary G. Koch, Maura E. Stokes, John N. Darroch, Daniel H. Freeman, Jr., H. Dennis Tolley, Categorical Data Analysis: Some Reflections on the Log Linear Model and Logistic Regression.

The results of Cox (1961, 1962) on tests of separate families of hypotheses are used to develop tests for some log linear regression models. The consequences of using one model when another is true ...

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

R 2 (R-squared) is a statistical measure of the goodness of fit of a linear regression model (from 0.00 to 1.00), also known as the coefficient of determination.

What linear equation would fit this data the best? This is linear regression. Not a big fan of Microsoft Excel. Oh sure, it does the job, and it does it quite well (usually).

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 ...