Related: What is a strong negative correlation? (Plus examples) When to use inverse correlation The closer the r value is to -1, the stronger the negative correlation between the variables. So, if variable A=4, variable B would be -4. A -1 value represents a perfect negative correlation, where the value between the two variables is exactly the opposite of each other. For negative correlations, the coefficient r has a value between 0 and -1. The correlation described between variables A and B has a negative coefficient, which is why it's also called a negative correlation. In statistics, the correlation coefficient r denotes the relationship between variables. Plotting variable A on the x-axis and variable B on the y-axis, if A has a high value, B likely has a low value and vice versa. When plotting these variables against each other on a graph, this relationship appears visually as a downward slope moving from left to right. What is an inverse correlation?Īn inverse correlation, or negative correlation, is a relationship between two variables where if the value of one increases, the value of the other decreases.
#NEGATIVE CORRELATION EXAMPLES XLS HOW TO#
In this article, we define what an inverse correlation is, when we might use it, what it can tell us, how to formulate it and explore a few correlation examples. Understanding the details of this type of relationship can be a valuable professional skill, particularly for professionals who handle data. One such correlation may be an inverse relationship, whereby increasing the value of one variable decreases the other. There are a number of different ways variables can interact and have an effect on one another.
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