What is Correlation in Statistics and its Types?

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data.

4 Types of Correlation

1. Positive Correlation 2. Negative Correlation 3. Non-linear Correlation 4. No Correlation

1. Positive Correlation

There is a positive linear correlation when the variable on the x-axis increases as the variable on the y-axis increases. This is shown by an upwards sloping straight regression line.

2. Negative Correlation

There is a negative linear correlation when one variable increases as the other variable decreases. This is shown by a downwards sloping straight regression line

3. Non-linear Correlation

There is a non-linear correlation when there is a relationship between variables but the relationship is not linear (straight).

4. No Correlation

There is no correlation when there is no pattern that can be detected between the variables.

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