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

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10.3.1 Scatterplot matrix Recall that we use SAS’s scatterplot matrix feature to quickly scan for pairs of explanatory variables that might be colinear. To do this in R we must first make sure we ...

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 ...

These properties are particularly important in the formative stages of model building when the form of the response is not known exactly. Techniques with these properties are proposed and discussed.

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

Yanming Li, Bin Nan, Ji Zhu, Multivariate Sparse Group Lasso for the Multivariate Multiple Linear Regression with an Arbitrary Group Structure, Biometrics, Vol. 71, No. 2 (JUNE 2015), pp. 354-363 ...

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, ...