Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

For electronics, linear regression has many applications, including interpreting sensor data. You might also use it to generalize a batch of unknown components, for example.

Halbert White, Glenn M. MacDonald, Some Large-Sample Tests for Nonnormality in the Linear Regression Model, Journal of the American Statistical Association, Vol. 75, No. 369 (Mar., 1980), pp. 16-28 ...

SIAM Review Vol. 36, No. 2, Jun., 1994 Total Least Squares: State-of-the-Art Regression in Numerical Analysis This is the metadata section. Skip to content viewer section. Total least squares ...