Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

Estimating the regression equation by LSE is quite robust to non-normality of and correlation in the errors, but it is sensitive to extreme values of both predictor and predicted.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Hippocampal cell assemblies coding for past, present and future events form theta-timescale (∼ 100 ms) sequences that represent spatio-temporal episodes. However, the underlying mechanisms ...

You will likely find approach (2) to be the most useful in practice because, in many cases, you will want to change the granularity of your categorical variables. A regression equation with a zillion ...

In regression problems alternative criteria of "best fit" to least squares are least absolute deviations and least maximum deviations. In this paper it is noted that linear programming techniques may ...

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, ...