Descriptive Statistics

Hypothesis test



Correlation Calculator!

With Statisty you can easily calculate a correlation analysis online. You can choose between the Pearson correlation calculator and the Spearman correlation calculator. To calculate a correlation, simply click on 2 metric or two ordinal variables.

Correlation Calculator

Decoding Data Relationships with Ease

Data-driven decisions are becoming the backbone of many successful enterprises and academic endeavors. One fundamental statistical measure that plays a pivotal role in understanding data is correlation. Today, we're thrilled to introduce our brand-new tool: the Correlation Calculator. Whether you're a student, a researcher, or a business professional, our tool promises simplicity combined with accuracy.

What is Correlation?

In the realm of statistics, correlation quantifies the degree to which two variables move in relation to each other. A perfect positive correlation (a correlation coefficient of +1) means that as one variable increases, the other will too, and vice-versa. A perfect negative correlation (a correlation coefficient of -1) means that as one variable increases, the other will decrease.

Why Use Our Correlation Calculator?

  • Simplicity: No need for lengthy computations. Just input your data, and let the calculator handle the rest.
  • Accuracy: Built with precision in mind, our calculator delivers reliable results every time.
  • Interpretation: Beyond just providing a number, we help you understand what your correlation coefficient means.
  • Visuals: Our calculator showcases the data points on a scatterplot, allowing users to visually grasp the relationship.

How Does It Work?

  1. Input Data: Enter your paired data sets.
  2. Hit Calculate: Our tool swiftly processes the data.
  3. View Results: Get the correlation coefficient, along with a scatterplot and an interpretation guide.

Applications of Correlation

  • Market Research: Understand the relationship between advertising spend and sales figures.
  • Academia: Researchers can gauge the link between variables in various experiments.
  • Healthcare: Examine the correlation between dietary habits and health metrics.
  • Finance: Analyze how different stocks move in relation to each other or with market indices.

A Word of Caution

While correlation can indicate a relationship between two variables, it's essential to remember the age-old adage: "Correlation does not imply causation." Always ensure you delve deeper into the data to understand underlying patterns and causative factors.


Our Correlation Calculator is more than just a tool; it's a doorway to deeper insights and a better understanding of the world of data around us. Try it out today, and let the numbers guide your narrative.