Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

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

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

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

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 ...

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 ...

Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the ...

C. C. Holmes, B. K. Mallick, Bayesian Regression with Multivariate Linear Splines, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.