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

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

What Are Some Ways Linear Regression Can Be Applied in Business Settings?. During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and ...

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

“The statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive results ...

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 ...

Now that you've got a good sense of how to "speak" R, let's use it with linear regression to make distinctive predictions. The R system has three components: a scripting language, an interactive ...

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 ...