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

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

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

In extensive simulations, the new procedure is compared with several previously proposed methods for predicting multiple responses (including partial least squares) and exhibits superior accuracy. One ...

This paper provides an alternative approach to penalized regression for model selection in the context of high-dimensional linear regressions where the number of covariates is large, often much larger ...

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...