There are some problems (smoking, nail-biting and so on) which can be dealt with without the need for regression.

This could be resolved either by allowing for moral regression or by extending the theory.

In 1815, Gergonne wrote the first paper on the optimal design of experiments for polynomial regression.

The latter example specifies using a specific algorithm for logistic regression.

A similar notation is used for multiple linear regression.

Some of the more common estimation techniques for linear regression are summarized below.

All of the packages gave exactly the same results for correlation and regression.

Sometimes, the report found, new democratic hopes unmet by elected governments lead to public disgust for the system and regression to military rule.

It is one of a number of methods for robust regression.

The effect size measure for hierarchical multiple regression is defined as: