The phrase "a small negative correlation" is correct and usable in written English.
It can be used in contexts involving statistics, research, or data analysis to describe a weak inverse relationship between two variables.
Example: "The study found a small negative correlation between hours spent studying and levels of stress among students."
Alternatives: "a slight negative correlation" or "a weak negative correlation".
There was a small negative correlation between NCV and CSA in the working arm.
For those individuals agreeing with statement 15 (n = 67), 62.7% (n = 42) disagreed with statement 16, resulting in a small negative correlation (r 74) = −0.23, P <0.05).
Gilbert and Fisher (2006) found a small negative correlation that was not statistically significant relating the number of inconsistencies and the accuracy of the rest of the testimony.
A small negative correlation (r 74) = −0.18, P = 0.13) exists among the responses for statements 20 ('There exists a large amount of evidence supporting the theory of evolution') and 21.
The results of the correlation analysis indicated very weak to weak positive correlation between intrinsic value and the number of pages in each segment, except for the duration from 300 to 359 s; however, there was a small negative correlation between the intrinsic value of this class and the number of slides read.
We did find that there was a small negative correlation between religiosity and generosity, but that was mainly about the children of the very religious being slightly less generous than those of the moderately religious, rather than a difference between a religious and non-religious families.
Data presented a very small negative correlation (−0.02), which was once again surprising since we would expect more indications to people that are independent of their previous supervisor.
It can also be observed that there is a relatively small negative correlation between the UH and the maximum number of users.
However, in a cross-sectional exercise, when we correlate the average unemployment over the period in each municipality with our measure of negative attitudes towards immigrants, we find a very small negative correlation (−0.08).
Not surprisingly, with statements 12 and 14 producing multiple combinations of responses replete with multiple combinations of misconceptions among participants, a very small negative correlation resulted (r(27) = −0.09, P <0.41).
This implicit age effect inferred from epidemiological studies and a normative sample was moderated by the (small) negative correlation between age and the number of hyperactivity symptoms in our sample.
