In simple everyday speech, the word "correlated" can be heard extremely rarely, we either replace this concept with a simple synonymous one, or we do not use it at all. The concept of “correlation” is widely used by journalists, scientists and political scientists. Let’s figure out why.
Definition
It has long been observed that all processes that occur in an organized system, one way or another, affect each other and the system itself. Of course, such connections are not superficial, but nevertheless, upon a detailed examination, they are found. Speaking of these relationships, we use the term “correlation” and its derivatives - it is correlated, correlated. Correlation is not only a relationship, it is a mutual relationship or interdependence. And correlated is one of the objects entering into this connection.
Occurrence
For the first time in the scientific community, the concept of correlation by the paleontologist Georges Cuvier was used . He studied anatomy and made an incredible discovery: he formulated the law of the ratio of parts, according to which any changes in the structure of the animal’s organ necessarily lead to changes in other organs, that is, here correlated is an organ that will cause changes in other organs. This discovery greatly helped the scientist restore the holistic appearance of the animal only from a fragment of a fossil.
Well, the concept familiar to statistics was entrenched later thanks to the works of the biologist Francis Galton.
Concept in statistics
In statistics, correlated is an object that appears to us as a statistical relationship between two quantities that are independent of each other. If the value of one quantity changes, then the value of the second also changes. If only the characteristics of the quantity change, then the correlation has nothing to do with it.
The level of mutual dependence is measured in the range from -1 to +1. This is a correlated coefficient.
- If the correlation coefficient is +1, then with an increase in one value, the other will increase. Example: the rise in price of a valuable share leads to the rise in price of another similarly valuable share.
- If the correlation coefficient is -1, then with an increase in one value, the other, negatively correlated, decreases.
- If the correlation coefficient is 0, then there is no mutual connection, and any dependencies are random.
And what is a "correlate"? Nothing complicated here, because it is just a derivative verb from a noun. Correlate - this is interconnected with any object according to some criteria.