Зависимость ОТ (from or versus)

English translation: as a function of

GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW)

Russian term or phrase:	Зависимость ОТ (from or versus)
English translation:	as a function of
Entered by:	Natalia Potashnik

10:32 Mar 31, 2021

Russian to English translations [PRO]
Medical - Medical: Pharmaceuticals / аналитическая методика

Russian term or phrase: Зависимость ОТ (from or versus)

Добрый день, уважаемые специалисты!
Как вы считаете, корректно ли звучит перевод с русс на англ:

Построили график линейной зависимости отклика "ПРЕПАРАТ" от концентрации, определили значение величины коэффициента корреляции линейной зависимости.

Мой перевод:
Plotted the linear dependence of "DRUGNAME" response on (or versus?) the concentration, established the correlation coefficient of the linear dependence.

Ekaterina (X) KudoZ activity Questions: 85 (8 open) (8 without valid answers) Answers: 0 Russian Federation
Local time: 19:47

as a function of

Explanation:
Спросила своего мужа-физика, который уже 30 лет пишет статьи на английском с графиками. Погуглила и нашла множество тому подтверждений.

RELATIVE AND ABSOLUTE STRENGTH OF RESPONSE AS A FUNCTION OF FREQUENCY OF REINFORCEMENT
https://onlinelibrary.wiley.com/doi/10.1901/jeab.1961.4-267

Selected response from:

Natalia Potashnik
United States
Local time: 10:47

Grading comment

Selected automatically based on peer agreement.
4 KudoZ points were awarded for this answer

Summary of answers provided

4 +2

as a function of

Natalia Potashnik

dependence of ... on concentration

Lesia Kutsenko

relationship with

Kseniia Abramenko

Plotted the graph of the linear association/relationship between X's response and concentration

Frank Szmulowicz, Ph. D.

Discussion entries: 3

Answers

9 mins confidence:

dependence of ... on concentration

Explanation:
τ1 exhibits an exponential dependence on concentration ...
https://pubs.rsc.org/en/content/articlelanding/1983/FS/fs983...

Lesia Kutsenko
Canada
Local time: 12:47
Specializes in field
Native speaker of:

English
PRO pts in category: 24

27 mins confidence:

relationship with

Explanation:
Linear relationship with OR between X and Y
...linear response curve ... linear correlation coefficient
См. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829644/

Kseniia Abramenko
United Kingdom
Local time: 17:47
Specializes in field
Native speaker of: Russian

9 hrs confidence:

peer agreement (net): +2

as a function of

Natalia Potashnik
United States
Local time: 10:47
Specializes in field
Native speaker of: Russian
PRO pts in category: 16

Grading comment

Selected automatically based on peer agreement.

13 hrs confidence:

Plotted the graph of the linear association/relationship between X's response and concentration

Explanation:
Pearson Correlation Coefficient Calculator
The Pearson correlation coefficient is used to measure the strength of a linear association between two variables, where the value r = 1 means a perfect positive correlation and the value r = -1 means a perfect negataive correlation. So, for example, you could use this test to find out whether people's height and weight are correlated (they will be - the taller people are, the heavier they're likely to be).

Requirements for Pearson's correlation coefficient

Scale of measurement should be interval or ratio
Variables should be approximately normally distributed
The association should be linear
There should be no outliers in the data

https://www.socscistatistics.com/tests/pearson/

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Correlation coefficients are used to measure how strong a relationship is between two variables. There are several types of correlation coefficient, but the most popular is Pearson’s. Pearson’s correlation (also called Pearson’s R) is a correlation coefficient commonly used in linear regression. If you’re starting out in statistics, you’ll probably learn about Pearson’s R first. In fact, when anyone refers to the correlation coefficient, they are usually talking about Pearson’s.

Correlation coefficient formulas are used to find how strong a relationship is between data. The formulas return a value between -1 and 1, where:

1 indicates a strong positive relationship.
-1 indicates a strong negative relationship.
A result of zero indicates no relationship at all.

https://www.statisticshowto.com/probability-and-statistics/c...

Frank Szmulowicz, Ph. D.
United States
Local time: 12:47
Works in field
Native speaker of:

English,

Polish
PRO pts in category: 282

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Зависимость ОТ (from or versus)

English translation: as a function of

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