---
title: correlated — school dictionary · trees and pragmatics
description: «correlated» in the school dictionary: When two things are correlated, they tend to change together: when one goes up, the other usually goes up (or down) too: «Height and shoe size are correlated». Every meaning for a pupil with its dependency tree and pragmatics.
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/dictionaries/school/C/correlated/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [dictionaries](https://md.mova.elamur.ai/free/en/corpora/dictionaries/) / [school dictionary](https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/) / [C](https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/C/) / correlated

# correlated

<!-- .vintro -->
**Who acts:** things, one, other, Compared two things, scientist, people · **What happens:** correlate, tend, change, go up, compare, connect · **To what, where:** two things, Height, temperature, Hours, cream sales, coats · **Speech:** someone speaks here

<!-- .vabout -->
«correlated» in the school dictionary: its 2 meanings for a pupil and its 6 examples, every sentence parsed by Mova itself — its syntax tree, a dependency tree in the style of Universal Dependencies, and its pragmatics clause by clause. The word in the dictionary, with its sense in the lessons: [correlated in the school dictionary](https://md.mova.elamur.ai/free/en/dictionaries/school/w/correlated.md).

## Meaning 1 {#m1}

<!-- .note -->
Usage: adjective — kept apart, not parsed.

<!-- .ven lang=en -->
When two things are correlated, they tend to change together: when one goes up, the other usually goes up (or down) too: «Height and shoe size are correlated».

<!-- fold The tree, 28 words -->
```conllu
# sent_id = dict:school:correlated:m1:1
# text = When two things are correlated, they tend to change together: when one goes up, the other usually goes up (or down) too: «Height and shoe size are correlated».
1	When	when	ADV	WRB	PronType=Int	5	advmod	_	_
2	two	two	NUM	CD	NumForm=Word|NumType=Card	3	nummod	_	_
3	things	thing	NOUN	NNS	Number=Plur	5	nsubj:pass	_	_
4	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	aux:pass	_	_
5	correlated	correlate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	advcl	_	SpaceAfter=No
6	,	,	PUNCT	,	_	5	punct	_	_
7	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	8	nsubj	_	_
8	tend	tend	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
9	to	to	PART	TO	_	10	mark	_	_
10	change	change	VERB	VB	VerbForm=Inf	8	xcomp	_	_
11	together	together	ADV	RB	_	10	advmod	_	SpaceAfter=No
12	:	:	PUNCT	:	_	15	punct	_	_
13	when	when	SCONJ	WRB	_	15	mark	_	_
14	one	one	PRON	PRP	Number=Sing|Person=3|PronType=Prs	15	nsubj	_	_
15	goes	go	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	parataxis	_	_
16	up	up	ADP	RP	_	15	compound:prt	_	SpaceAfter=No
17	,	,	PUNCT	,	_	21	punct	_	_
18	the	the	DET	DT	Definite=Def|PronType=Art	19	det	_	_
19	other	other	ADJ	JJ	Degree=Pos	21	nsubj	_	_
20	usually	usually	ADV	RB	_	21	advmod	_	_
21	goes	go	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	15	conj	_	_
22	up	up	ADP	RP	_	21	compound:prt	_	_
23	(	(	PUNCT	-LRB-	_	25	punct	_	SpaceAfter=No
24	or	or	CCONJ	CC	_	25	cc	_	_
25	down	down	ADV	RB	_	21	advmod	_	SpaceAfter=No
26	)	)	PUNCT	-RRB-	_	25	punct	_	_
27	too	too	ADV	RB	_	25	advmod	_	SpaceAfter=No
28	:	:	PUNCT	:	_	35	punct	_	_
29	«	«	PUNCT	``	_	30	punct	_	SpaceAfter=No
30	Height	height	NOUN	NN	Number=Sing	35	nsubj:pass	_	_
31	and	and	CCONJ	CC	_	33	cc	_	_
32	shoe	shoe	NOUN	NN	Number=Sing	33	compound	_	_
33	size	size	NOUN	NN	Number=Sing	30	conj	_	_
34	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	35	aux:pass	_	_
35	correlated	correlate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	21	advcl	_	SpaceAfter=No
36	»	»	PUNCT	''	_	35	punct	_	SpaceAfter=No
37	.	.	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **correlate** | present · passive |  | two things |  |  |  |  | vn amalgamate-22.2-2-1 «NP V NP»: subject=Patient |
| 2 | **tend** | present | things *= thing* |  |  |  |  |  | tree rules |
| 3 | **change** | to-infinitive | things *= thing* *not said here* |  |  |  |  | together *property* | vn dress-41.1.1-1-1 «NP V»: agent=Agent |
| 4 | **go up** | present | one |  |  |  |  |  | vn calibratable\_cos-45.6.1-1 «NP.attribute V»: agent=Attribute |
| 5 | **go up** | present | the other |  |  |  |  | down, usually *property* | vn calibratable\_cos-45.6.1-1 «NP.attribute V»: agent=Attribute |
| 6 | **correlate** *in a quote* | present · passive |  | Height and shoe size |  |  |  |  | vn amalgamate-22.2-2-1 «NP V NP»: subject=Patient |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

## Meaning 2 {#m2}

<!-- .note -->
Usage: verb, past — kept apart, not parsed.

<!-- .ven lang=en -->
Compared or connected two things to see how they match: «The scientist correlated the temperature with ice-cream sales».

<!-- fold The tree, 19 words -->
```conllu
# sent_id = dict:school:correlated:m2:1
# text = Compared or connected two things to see how they match: «The scientist correlated the temperature with ice-cream sales».
1	Compared	compare	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	5	amod	_	_
2	or	or	CCONJ	CC	_	3	cc	_	_
3	connected	connect	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	1	conj	_	_
4	two	two	NUM	CD	NumForm=Word|NumType=Card	5	nummod	_	_
5	things	thing	NOUN	NNS	Number=Plur	10	nsubj	_	_
6	to	to	PART	TO	_	7	mark	_	_
7	see	see	VERB	VB	VerbForm=Inf	10	advcl	_	_
8	how	how	ADV	WRB	PronType=Int	10	advmod	_	_
9	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	10	nsubj	_	_
10	match	match	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	SpaceAfter=No
11	:	:	PUNCT	:	_	15	punct	_	_
12	«	«	PUNCT	``	_	15	punct	_	SpaceAfter=No
13	The	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	scientist	scientist	NOUN	NN	Number=Sing	15	nsubj	_	_
15	correlated	correlate	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	10	parataxis	_	_
16	the	the	DET	DT	Definite=Def|PronType=Art	17	det	_	_
17	temperature	temperature	NOUN	NN	Number=Sing	15	obj	_	_
18	with	with	ADP	IN	_	22	case	_	_
19	ice	ice	NOUN	NN	Number=Sing	21	compound	_	SpaceAfter=No
20	-	-	PUNCT	HYPH	_	19	punct	_	SpaceAfter=No
21	cream	cream	NOUN	NN	Number=Sing	22	compound	_	_
22	sales	sale	NOUN	NNS	Number=Plur	15	obl	_	SpaceAfter=No
23	»	»	PUNCT	''	_	15	punct	_	SpaceAfter=No
24	.	.	PUNCT	.	_	10	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **compare** | participle |  |  |  |  |  |  | vn amalgamate-22.2-2 «NP V ADVP-Middle»: agent=Patient |
| 2 | **connect** | participle |  |  |  |  |  |  | vn mix-22.1-2-1 «NP V»: agent=Patient |
| 3 | **see** | to-infinitive | Compared two things *not said here* |  |  |  |  |  | vn comprehend-87.2-1-1 «NP V»: agent=Experiencer |
| 4 | **match** | present | Compared two things |  |  |  |  |  | tree rules |
| 5 | **correlate** *in a quote* | past | the scientist | the temperature |  |  |  | with cream sales | vn amalgamate-22.2-2-1 «NP V NP PP.co-patient»: agent=Agent temperature=Patient with sale=Co-Patient |

## Example 1 {#x1}

<!-- .ven lang=en -->
Hours of practice and test scores were correlated.

```conllu
# sent_id = dict:school:correlated:x1:1
# text = Hours of practice and test scores were correlated.
1	Hours	hour	NOUN	NNS	Number=Plur	8	nsubj	_	_
2	of	of	ADP	IN	_	3	case	_	_
3	practice	practice	NOUN	NN	Number=Sing	1	nmod	_	_
4	and	and	CCONJ	CC	_	6	cc	_	_
5	test	test	NOUN	NN	Number=Sing	6	compound	_	_
6	scores	score	NOUN	NNS	Number=Plur	3	conj	_	_
7	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	8	aux:pass	_	_
8	correlated	correlate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	SpaceAfter=No
9	.	.	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **correlate** | past · passive |  | Hours of practice and test scores |  |  |  |  | vn amalgamate-22.2-2-1 «NP V NP»: subject=Patient |

## Example 2 {#x2}

<!-- .ven lang=en -->
Ice-cream sales and sunny days are positively correlated.

```conllu
# sent_id = dict:school:correlated:x2:1
# text = Ice-cream sales and sunny days are positively correlated.
1	Ice	ice	NOUN	NN	Number=Sing	3	compound	_	SpaceAfter=No
2	-	-	PUNCT	HYPH	_	1	punct	_	SpaceAfter=No
3	cream	cream	NOUN	NN	Number=Sing	4	compound	_	_
4	sales	sale	NOUN	NNS	Number=Plur	10	nsubj:pass	_	_
5	and	and	CCONJ	CC	_	7	cc	_	_
6	sunny	sunny	ADJ	JJ	Degree=Pos	7	amod	_	_
7	days	day	NOUN	NNS	Number=Plur	4	conj	_	_
8	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	aux:pass	_	_
9	positively	positively	ADV	RB	_	10	advmod	_	_
10	correlated	correlate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	SpaceAfter=No
11	.	.	PUNCT	.	_	10	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **correlate** | present · passive |  | cream sales and sunny days |  |  |  | positively *property* | vn amalgamate-22.2-2-1 «NP V NP»: subject=Patient |

## Example 3 {#x3}

<!-- .ven lang=en -->
Temperature and the number of people wearing coats are negatively correlated.

```conllu
# sent_id = dict:school:correlated:x3:1
# text = Temperature and the number of people wearing coats are negatively correlated.
1	Temperature	temperature	NOUN	NN	Number=Sing	11	nsubj:pass	_	_
2	and	and	CCONJ	CC	_	4	cc	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	number	number	NOUN	NN	Number=Sing	1	conj	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	people	people	NOUN	NNS	Number=Plur	4	nmod	_	_
7	wearing	wear	VERB	VBG	VerbForm=Ger	6	acl	_	_
8	coats	coat	NOUN	NNS	Number=Plur	7	obj	_	_
9	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	11	aux:pass	_	_
10	negatively	negatively	ADV	RB	_	11	advmod	_	_
11	correlated	correlate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	SpaceAfter=No
12	.	.	PUNCT	.	_	11	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **wear** | gerund | people *not said here* | coats |  |  |  |  | vn wipe\_manner-10.4.1-1 «NP V NP.theme»: agent=Agent coat=Theme |
| 2 | **correlate** | present · passive |  | Temperature and the number of people |  |  |  | negatively *property* | vn amalgamate-22.2-2-1 «NP V NP»: subject=Patient |

## Example 4 {#x4}

<!-- .ven lang=en -->
The researchers correlated the children's sleep with their marks.

```conllu
# sent_id = dict:school:correlated:x4:1
# text = The researchers correlated the children's sleep with their marks.
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	researchers	researcher	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	correlated	correlate	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	children	child	NOUN	NNS	Number=Plur	7	nmod:poss	_	SpaceAfter=No
6	's	's	PART	POS	_	5	case	_	_
7	sleep	sleep	NOUN	NN	Number=Sing	3	obj	_	_
8	with	with	ADP	IN	_	10	case	_	_
9	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	10	nmod:poss	_	_
10	marks	mark	NOUN	NNS	Number=Plur	3	obl	_	SpaceAfter=No
11	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **correlate** | past | the researchers | the children's sleep |  |  |  | with researchers's marks | vn amalgamate-22.2-2-1 «NP V NP PP.co-patient»: agent=Agent sleep=Patient with mark=Co-Patient |
| 2 | **sleep** |  | the children |  |  |  |  |  | nom sleep «state intransitive»: poss=agent |
| 3 | **mark** |  | researchers *= researcher* |  |  |  |  |  | nom mark «cognition transitive»: poss=agent |

## Example 5 {#x5}

<!-- .ven lang=en -->
Just because two things are correlated does not mean one causes the other.

```conllu
# sent_id = dict:school:correlated:x5:1
# text = Just because two things are correlated does not mean one causes the other.
1	Just	just	ADV	RB	_	9	advmod	_	_
2	because	because	SCONJ	IN	_	6	mark	_	_
3	two	two	NUM	CD	NumForm=Word|NumType=Card	4	nummod	_	_
4	things	thing	NOUN	NNS	Number=Plur	6	nsubj:pass	_	_
5	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	aux:pass	_	_
6	correlated	correlate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	9	nsubj	_	_
7	does	do	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	9	aux	_	_
8	not	not	PART	RB	Polarity=Neg	9	advmod	_	_
9	mean	mean	VERB	VB	VerbForm=Inf	0	root	_	_
10	one	one	NUM	CD	NumForm=Word|NumType=Card	11	nsubj	_	_
11	causes	cause	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	9	ccomp	_	_
12	the	the	DET	DT	Definite=Def|PronType=Art	13	det	_	_
13	other	other	ADJ	JJ	Degree=Pos	11	obj	_	SpaceAfter=No
14	.	.	PUNCT	.	_	9	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **correlate** | present · passive |  | two things |  |  |  |  | vn amalgamate-22.2-2-1 «NP V NP»: subject=Patient |
| 2 | **not** **mean** | present · do-support |  |  |  |  |  |  | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic |
| 3 | **cause** | present | one | the other |  |  |  |  | vn engender-27.1-1 «NP V NP»: agent=Precondition other=Patient |

## Example 6 {#x6}

<!-- .ven lang=en -->
Our scatter graph showed that arm span and height are strongly correlated.

```conllu
# sent_id = dict:school:correlated:x6:1
# text = Our scatter graph showed that arm span and height are strongly correlated.
1	Our	our	PRON	PRP$	Case=Gen|Number=Plur|Person=1|Poss=Yes|PronType=Prs	3	nmod:poss	_	_
2	scatter	scat	ADJ	JJR	Degree=Cmp	3	amod	_	_
3	graph	graph	NOUN	NN	Number=Sing	4	nsubj	_	_
4	showed	show	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	that	that	SCONJ	IN	_	12	mark	_	_
6	arm	arm	NOUN	NN	Number=Sing	7	compound	_	_
7	span	span	NOUN	NN	Number=Sing	12	nsubj:pass	_	_
8	and	and	CCONJ	CC	_	9	cc	_	_
9	height	height	NOUN	NN	Number=Sing	7	conj	_	_
10	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	12	aux:pass	_	_
11	strongly	strongly	ADV	RB	_	12	advmod	_	_
12	correlated	correlate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	ccomp	_	SpaceAfter=No
13	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **show** | past | Our scatter graph |  |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V how S»: agent=Agent clause=Topic |
| 2 | **correlate** | present · passive |  | arm span and height |  |  |  | strongly *property* | vn amalgamate-22.2-2-1 «NP V NP»: subject=Patient |
| 3 | **graph** |  | Our |  |  |  |  |  | nom graph «communication transitive»: poss=agent |

<!-- div src -->

**Text:** the school dictionary of Mova's schools (`world/data/dictionary-schools/`), written for Mova. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each meaning and example read on its own. Elamur Cosmic License.

<!-- /div -->

<!-- pn -->
- ← previous: [correctness](https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/C/correctness/)
- next →: [correlation](https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/C/correlation/)
- ↑ back to [C in school dictionary](https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/C/)