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# What is the difference between positive and negative correlation?

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In a positive correlation, as one variable increases, so does the other variable, and as the first decreases, so does the second. A negative correlation is the opposite. As one variable increases, the other variable decreases, and as the first decreases, the second increases.

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The length of an iron bar increasing as the temperature increases is an example of a positive correlation. An example of a negative correlation is that the volume of gas decreases as the pressure increases. If there is no relationship between the two variables, they are said to have no correlation or zero correlation. For example, if one variable changes and the second variable stays constant, these variables are said to have no correlation.

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## Related Questions

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An example of a negative correlation in practical terms is that as a chicken gets older, they tend to lay fewer eggs. This is a negative correlation because as the years of the chicken increase, the number of eggs decrease, meaning that the two numbers are moving opposite from each other.

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The mean, median and mode are different methods to determine the average of a set of integers. Though all three methods are used to compute an average, each result could differ.

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The term sensitivity in epidemiology is a statistical measure on individuals who are positive, and they test positive in the tests. On the other hand, specificity refers to a statistical measure of individuals who tests negative and are truly negative.