The solution for x is closed-form, using standard linear regression:

Residential trip generation analysis is often undertaken using statistical regression.

One of the problems that results from using linear regression is determining causation vs correlation.

In practice, the components of the master equation are fit to experimental data using multiple linear regression.

The relationship is typically found using isotonic regression.

Lavoisier noted in 1780 that heat production can be predicted from oxygen consumption this way, using multiple regression.

Using multinomial regression on the sales data however will not tell us what we want to know.

With both continuous and categorical data, it would be best to use logistic regression.

The first school of estimation uses regression and correlation to estimate heritability.

The normalization and variance estimation are both performed using local regression.