Negative correlation

A negative correlation is a relationship between two variables in which one variable decreases as the other variable increases, and vice versa. In other words, when one variable decreases, the other variable decreases, and when one variable increases, the other variable decreases.

For example, there is a negative correlation between the number of hours you study and the number of hours you party. The more you party, the less you study, and the less you party, the more you study. Another example of a negative correlation is the relationship between the amount of money you spend and the amount of money you save. The more you spend, the less you save, and the less you spend, the more you save.

What is negative and positive correlation?

Correlation is a statistical measure of the relationship between two variables. A positive correlation indicates that the two variables move in the same direction; that is, when one variable increases, the other increases, and when one decreases, the other decreases. A negative correlation indicates that the two variables move in opposite directions; that is, when one increases, the other decreases, and when one decreases, the other increases. What does a negative 0. 5 correlation mean? A negative correlation of -0.5 means that as one variable increases, the other decreases by half. So, if X increases by 1 unit, Y would decrease by 0.5 units. What does the negative correlation tell us? A negative correlation tells us that as one variable increases, the other decreases. How do you interpret a negative correlation? A negative correlation indicates that as one variable increases, the other decreases. In other words, there is an inverse relationship between the two variables. Is a negative correlation strong or weak? A negative correlation means that two variables are moving in opposite directions. The strength of the correlation is determined by how close the two variables are to each other. The closer the variables are, the stronger the correlation.