Multiple and Non-Linear Regression The variable you are trying to estimate is referred to as dependent, while the variable you use in the model to predict the dependent variable is called independent.

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

Its content features papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of ...

2. Multiple Linear Regression Multiple Linear Regression is a method for predicting one outcome variable by considering the combined influence of two or more predictor variables.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

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Prompted by a connection between MacKinnon and White's HC2 HCCM estimator and the heterogeneous-variance two-sample t statistic, the authors provide a new statistic for testing linear hypotheses in an ...