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The words "dependent variables" and "independent variables" are the cornerstones of every regression. However, I am collecting the alternative ways to call these two terms. Because in a paper, these words will be repeated a lot of times so I want to know more about that.

What I know so far is:

dependent variables: regressand

independent variables: regressors, covariates

A variable is a covariate if it is related to the dependent variable. According to this definition, any variable that is measurable and considered to have a statistical relationship with the dependent variable would qualify as a potential covariate

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    $\begingroup$ 'output' (dependent) and 'input' (independent) variables. 'Features' in machine learning. In machine learning, features are individual independent variables that act like a input in your system. $\endgroup$
    – Jesper Hybel
    Commented Jun 18, 2021 at 0:16
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    $\begingroup$ Sometimes 'endogenous' and 'exogenous' ... $\endgroup$
    – Jesper Hybel
    Commented Jun 18, 2021 at 0:20
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    $\begingroup$ I rarely see "endogenous" and "exogenous" as independent and dependent variables in finance paper... $\endgroup$
    – Phil Nguyen
    Commented Jun 18, 2021 at 2:51
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    $\begingroup$ There are some possible synonyms listed in Wikipedia, although the qualification about context should be borne in mind. $\endgroup$
    – Adam Bailey
    Commented Jun 18, 2021 at 10:57
  • $\begingroup$ That's great, thanks @AdamBailey $\endgroup$
    – Phil Nguyen
    Commented Jun 18, 2021 at 22:01

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