Types of Correlation

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What is correlation?

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Correlation is a statistical measure that describes the extent to which two variables change together. It can indicate the strength and direction of a relationship between the variables.

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What are the types of correlation?

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There are three types of correlation: Positive correlation, Negative correlation, and No correlation.

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What does positive correlation mean?

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Positive correlation means that as one variable increases, the other variable also increases. For example, the more hours studied, the higher the test scores.

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What does negative correlation mean?

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Negative correlation means that as one variable increases, the other variable decreases. For example, the more miles driven, the less gas remains in the tank.

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What does 'neither' correlation mean?

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'Neither' correlation means there is no discernible relationship between the two variables. For example, the number of students in a school and the number of trees in a playground.

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Example of positive correlation:

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The size of a room and the amount of paint needed for the walls. As the size of the room increases, the amount of paint needed also increases.

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Example of negative correlation:

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The number of hours spent watching TV and the grades in school. As TV watching increases, grades tend to decrease.

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What is a scatter plot?

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A scatter plot is a graph that shows the relationship between two quantitative variables. Each point represents an observation.

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How can you identify positive correlation in a scatter plot?

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In a scatter plot, positive correlation is identified when the points trend upwards from left to right.

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How can you identify negative correlation in a scatter plot?

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In a scatter plot, negative correlation is identified when the points trend downwards from left to right.