Рассчитать the Pearson correlation coefficient between two datasets instantly. Free online correlation calculator with step-by-step breakdown, scatter plot preview, and interpretation. Supports comma and newline separated values. Pure client-side, no ads.
Enter the same number of values in both datasets. Separate with commas or newlines.
The Pearson correlation coefficient (r) measures the linear relationship between two datasets. It ranges from −1 to +1, where +1 indicates a perfect positive linear relationship, −1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship. This calculator computes r, R² (the coefficient of determination), and provides a detailed step-by-step breakdown of the calculation. Все processing happens in your browser — no data is sent to any server.
Pearson correlation is used to measure the strength and direction of a linear relationship between two continuous variables. It is widely used in statistics, finance, psychology, biology, and data science to identify patterns, test hypotheses, and build predictive models.
R² represents the proportion of variance in one variable that is predictable from the other variable. For example, if r = 0.8, then R² = 0.64, meaning 64% of the variation in Y can be explained by X.
Нет. Correlation does not imply causation. Two variables may be correlated due to a third confounding factor, coincidence, or indirect relationship. Всегда use domain knowledge and controlled experiments to establish causation.
You need at least 3 pairs of values for a meaningful correlation calculation. The more data points you have, the more reliable your correlation estimate will be. For most applications, 30 or more pairs are recommended.
Да, completely free. Нет ads, no registration, no limits. Все calculations happen in your browser.