Korelatepontok

Korelatepontok is a term used in statistics and data visualization to refer to the individual observations that exhibit a relationship between two variables in a dataset. The word is formed from koreláció (correlation) and pontok (points) in Hungarian. It is not a formal statistical measure, but rather a descriptive label used in teaching and informal analysis to focus on the data points that participate in the observed association.

In a scatter plot, korelatepontok collectively illustrate the pattern. If the points align along a straight line, the korelatepontok show a strong linear relationship; if they form a curved pattern, the relationship may be nonlinear. Outliers or influential korelatepontok can disproportionately affect the computed correlation coefficient r and the slope of a regression line.

Calculation and interpretation: The concept does not introduce a new statistic; each korelatepont is a data pair (x,y). The overall strength is summarized by r, or by regression metrics; the distribution of korelatepontok around a fitted line informs residual analysis.

Limitations: Korelatepontok may be misleading if the underlying relationship is confounded by a lurking variable, sample bias, or nonstationarity. They are most meaningful when considered alongside summary statistics and visual diagnostics.

See also: correlation, scatter plot, regression analysis, outlier.

References: The term is informal and not standard in all statistical literature; usage varies among authors and educators.