What is the difference between positive and negative correlation?
Mathematics for Programming > Statistics > Correlation
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Answer:
Positive correlation and negative correlation refer to the direction of the relationship between two variables.
Positive correlation means that as the value of one variable increases, the value of the other variable also increases. For example, as the temperature increases, the demand for cold drinks increases. In this case, there is a positive correlation between temperature and demand for cold drinks.
Negative correlation means that as the value of one variable increases, the value of the other variable decreases. For example, as the amount of exercise increases, the weight of a person decreases. In this case, there is a negative correlation between exercise and weight.
In summary, positive correlation means that two variables move in the same direction, while negative correlation means that two variables move in opposite directions. The strength of the correlation, as measured by the correlation coefficient, can vary from weak to strong for both positive and negative correlations.
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