Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

For a film series that is just as mind-bending now as it was when it first came out, "The Matrix" movies are relatively easy ...

The example shows the benefits of linear regression; that is, you are using a single line that you draw through the plot points. The line might go up or down, ...

Correlation coefficients are used to measure the strength of the linear relationship between two variables.; A correlation coefficient greater than zero indicates a positive relationship, while a ...

Learn how to detect outliers, how they impact your regression coefficients, and how to trim or winsorize them. Compare the pros and cons of each method.