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

One of the simplest prediction methods is linear regression, in which we attempt to find a 'best line' through the data points. Correlation and linear regression are closely linked—they both ...

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

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

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

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, ...

In theory, a linear regression with interactions model can be trained using a closed-form solution that involves computing a matrix inverse. But in practice, a model is usually trained using iterative ...

Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable.

The Covariance Matrices for Which Least Squares Is Best Linear Unbiased, Scandinavian Journal of Statistics, Vol. 2, No. 2 (1975), pp. 85-90 ...