Non-correlated

Describing two or more variables or datasets that do not exhibit a systematic relationship or interdependence. This means changes in one variable do not predictably correspond to changes in another. The lack of correlation can manifest as a random scatter of data points when plotted graphically. In simpler terms, knowing the value of one variable provides no reliable information about the value of the other. The degree of association between variables are defined as the correlation, which ranges from a 1, showing a high positive correlation, to -1, showing a high negative correlation, with 0 showing no correlation.

Non-correlated meaning with examples

• The study showed that ice cream sales and the number of shark attacks were non-correlated. Higher ice cream consumption did not predict an increase in attacks, nor did low consumption. The variables appeared to fluctuate independently, suggesting no causal link or shared underlying factor.
• Researchers found that a person's height and their IQ score were largely non-correlated. While some correlation might exist in small samples, in large, diverse groups, a tall person wasn't inherently smarter than a short person, nor vice versa. This suggested different factors influenced each trait.
• Despite a rise in popularity of electric vehicles, the value of used gasoline cars remained non-correlated. A spike in EV purchases did not automatically coincide with either a rise or fall in the used gasoline car market, and changes in each market remained largely independent.
• Analyzing various market indicators, it was determined that stock prices for tech companies and the sales of organic coffee beans were non-correlated. Increases or decreases in one area didn't seem to influence the other, showing separate drivers.