I want to analyse the correlation in statistics by a " spearman correlation" and I found in the research article the phrase "Correlation is significant at the 0.01 level"
It indicates that the two variables tend to move in tandem, meaning that when one moves up, the other will typically move up as well. Positive correlation is measured on a 0.1 to 1.0 scale. Weak positive correlation would be in the range of 0.1 to 0.3, moderate positive correlation from 0.3 to 0.5, and strong positive correlation from 0.5 to 1.0. The stronger the positive correlation, the more likely the variables are to move in the same direction.
In general speaking, if you repeat that experiment 100 times, you will find that those two variables are correlated positively or negatively at least 99% of those trials, or there is one chance in a 100 that they are not curated.
A lower p-value is sometimes interpreted as meaning there is a stronger relationship between two variables. However, statistical significance means that it is unlikely that the null hypothesis is true (less than 5%).