¹ *Source: wiktionary.com*

### Definition of Regressors

**1.** regressor [n] - See also: regressor

### Lexicographical Neighbors of Regressors

### Literary usage of Regressors

Below you will find example usage of this term as found in modern and/or classical literature:

**1.** *Selected Proceedings of the Symposium on Estimating Functions* by Ishwar V. Basawa, V. P. Godambe, Robert Lee Taylor (1997)

"Institute of Mathematical Statistics LECTURE NOTES — MONOGRAPH SERIES OPTIMAL
INSTRUMENTAL VARIABLE ESTIMATION FOR LINEAR MODELS WITH STOCHASTIC **regressors** ..."**2.** *Sas/stat 9.1 User's Guide* by SAS Institute, Virginia Clark (2004)

"Another possibility is to scale the **regressors** in terms of the cost of ...
Correlated **regressors** In an experiment, you can often select values for the ..."**3.** *Time Series and Related Topics* by Ching-Zong Wei, Hwai-Chung Ho, Ching-Kang Ing, Tze Leung Lai (2006)

"... models with nonstationary **regressors**. It is shown that the term of order 1/n
in FPE and the term of order logn in APE share the same constant, ..."**4.** *SAS/ETS(R) 9.1 User's Guide, Volumes 1, 2, 3, and 4* by SAS Institute (2004)

"**regressors** Selection Window Use the **regressors** Selection window to select one or
more time series variables in the input data set to include as **regressors** ..."**5.** *Strengthening Policy Analysis: Econometric Tests Using Microcomputer Software* by Lawrence James Haddad, Daniel Driscoll (1995)

"Multicollinearity exists in virtually every data set but is a problem only when
the linear relationship among **regressors** is very strong. ..."**6.** *The Well-Being of Video Display Terminal Users: An Exploratory Study* by Mark S Gottlieb, Steven L Sauter, Vernon M Dodson, Kathryn M Rohrer (1999)

"This is a measure of the "leverage" or influence of each observation (ie associated
**regressors** for each case) on the predicted values produced by the model. ..."**7.** *Change-Point Problems* by Edward G. Carlstein, Hans-Georg Müller, David Siegmund (1994)

"... but from the smaller to the larger values of the regressor (or more generally,
according to the vector of **regressors** lying on one side or the other of a ..."