A correlation near -1 is called a strong negative relationship.Ĭorrelations near 0 mean that there is no or a weak, correlation between the variables. For example, when one variable decreases then the other increases.Ī correlation coefficient of -1 is called a perfect positive correlation. This means that when one variable changes then the other one changes in the opposite direction. A correlation coefficient close to 1 is called a strong positive relationship.Ĭorrelation coefficients below 0 are called negative correlation. For example, when one variable increases then so does the other.Ī correlation coefficient of 1 is called a perfect positive correlation. This means that when one variable changes then the other changes in the same direction. What Does the Correlation Coefficient MeanĬorrelation coefficients above 0 are called positive correlation. More people swimming means that there is a higher chance of shark attacks, and it also means that more ice creams will be sold because there are more people at the beach. More people go swimming at the beach on sunny days. There is a confounding variable at play, the temperature of the day. But selling ice-creams does not cause shark attacks, and removing the stands will not stop shark attacks. Correlation does not mean causation.įor example, ice cream stands at the beach tend to sell more ice cream on days when there are more shark attacks. Correlation Does Not Imply CausationĪ strong correlation between two sets of numbers does not mean that one causes the other. This means that there is a weak, or no, relationship between the numbers in the first or second sets. This means that there is a strong relationship between the numbers in the first and second sets.ĭatasets with a Correlation Coefficient close to 0 are said to be weakly correlated. if the numbers in your first set increase, then the numbers in your second set decrease.ĭatasets with a Correlation Coefficient that is close to -1 or 1 are said to be highly correlated. A value close to -1 means that when the numbers in your first set increase or decrease, then the numbers in your second set change in the opposite direction. A value close to 1 means that when the values in your first set of numbers increase or decrease, then the numbers in your second set also increase or decrease. The Correlation Coefficient is a number between -1 and 1. It is measured by the Correlation Coefficient.Ĭorrelation analysis is a really useful tool to see how strongly two variables are related. Correlation is used to measure how much the changes in one variable relate to the changes in another variable.
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