<p>The words &quot;dependent variables&quot; and &quot;independent variables&quot; 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.</p>
<p>What I know so far is:</p>
<p><strong>dependent variables</strong>: regressand</p>
<p><strong>independent variables</strong>: regressors, <a href="https://methods.sagepub.com/reference/encyc-of-research-design/n85.xml" rel="nofollow noreferrer">covariates</a></p>
<blockquote>
<p>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 <strong>covariate</strong></p>
</blockquote>

CC BY-SA 4.0
2021-06-18T00:16:48.477Z
'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.
Jesper Hybel
CC BY-SA 4.0
2021-06-18T00:20:11.393Z
Sometimes 'endogenous' and 'exogenous' ...
Jesper Hybel
CC BY-SA 4.0
2021-06-18T02:51:45.213Z
I rarely see "endogenous" and "exogenous" as independent and dependent variables in finance paper...
Phil Nguyen
CC BY-SA 4.0
2021-06-18T10:57:01.333Z
There are some possible synonyms listed in [Wikipedia](https://en.wikipedia.org/wiki/Dependent_and_independent_variables#Statistics_synonyms), although the qualification about context should be borne in mind.
Adam Bailey
CC BY-SA 4.0
2021-06-18T22:01:06.877Z
That's great, thanks @AdamBailey
Phil Nguyen
<reference-request><nonexpert>
How many ways to call dependent and independent variables?
Phil Nguyen
# How many ways to call dependent and independent variables?

(Asked by: username_0 on 2021-06-17)

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](https://methods.sagepub.com/reference/encyc-of-research-design/n85.xml)

> 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**

**Tags:** reference-request, nonexpert

> **Comments:**
> **username_1**: '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.  
> **username_1**: Sometimes 'endogenous' and 'exogenous' ...  
> **username_0**: I rarely see "endogenous" and "exogenous" as independent and dependent variables in finance paper...  
> **username_2**: There are some possible synonyms listed in [Wikipedia](https://en.wikipedia.org/wiki/Dependent_and_independent_variables#Statistics_synonyms), although the qualification about context should be borne in mind.  
> **username_0**: That's great, thanks @AdamBailey  

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## 0 answers

