![]() ![]() Negative correlation is just one statistical term used to identify data relationships between two variables. Related: What Is Correlation? (With Definition and Examples) Data correlation types The more you sleep, the less tired you may feel. The more money you spend, the less you might have. The lower the temperature, the more clothes you may wear. The more you cook at home, the less you might eat out. The more it rains, the less you can water the garden Here are some examples of negatively correlating variables: Even though two variables might have a negative correlation, things could change as time passes. This is can be especially true with stocks and bonds. It's important to note that in some circumstances, correlations might change. Related: Inverse Correlation: Definition, How It Works and Examples Negative correlation examplesĬonsider the following variable examples that would produce negative correlations. This is the opposite of positive correlation, where both variables increase or decrease at the same time. The reverse can also be true with a negative correlation. This shows that while x, or the first variable, gains value, y, or the second variable, decreases in value. You might see negative correlation represented with a -1. Negative correlation, or inverse correlation, describes a situation where, with two variables, one variable increases in value while the other decreases. In this article, we discuss negative correlation and its differences from other correlation types, and we offer steps for calculating negative correlation and examples of negatively correlated variables. There are many types of correlations, and understanding how each one works can help statisticians, managers and other professionals discover the relationships between the variables they study. Correlation is a statistical term that describes the relationship between two variables or datasets. ![]()
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