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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.

## Keep Learning

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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Cramer's V is a chi-square based method of determining correlation in tables with more than 2x2 rows and columns, according to ChangingMinds.org. It is used to determine the strength of a correlation that has already been deemed significant by a chi-square test.

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The difference between the independent, dependent and control variables rests with the way each variable impacts research. The dependent variable is the item under observation, the independent variable receives manipulation by a researcher and the control variable is an aspect that affects the dependent variable if the researcher does not hold it constant, explains Nuffield Foundation. These variables form the basis of an experiment or observation.

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Examples of quantitative variables include height and weight, while examples of qualitative variables include hair color, religion and gender. Quantitative variables are often represented in units of measurement, and qualitative variables are represented in non-numerical terms.