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

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

We are constantly bombarded by nonlinear success stories: The Facebook-MillionsOfDownloads-Airbnb-10,000Followers-ExponentialGrowth-AcquiredFor$200M-Snapchat-Uber-Zilla is stomping through our ...

Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...

Nonlinear models of measurement errors are used to analyze and correct inaccuracies in data collection and interpretation.

Linear and nonlinear Granger causality tests are used to examine the dynamic relation between daily Dow Jones stock returns and percentage changes in New York Stock Exchange trading volume. We find ...