Negative cross correlation

1. What is negative cross-correlation?
2. What does positive cross-correlation mean?
3. Can normalized cross-correlation be negative?
4. How do you interpret a negative Pearson correlation?

What is negative cross-correlation?

A negative correlation describes the extent to which two variables move in opposite directions. For example, for two variables, X and Y, an increase in X is associated with a decrease in Y. A negative correlation coefficient is also referred to as an inverse correlation.

What does positive cross-correlation mean?

If independent variable X influences variable Y and the two are positively correlated, then as the value of X rises so will the value of Y. If the same is true of the relationship between X and Z, then as the value of X rises, so will the value of Z.

Can normalized cross-correlation be negative?

First of all, the Normalized Cross-Correlation (NCC) used as similarity function has different properties than the correlation. Positive large values implies high similarity, while negative large values implies low similarity.

How do you interpret a negative Pearson correlation?

Positive correlation – the other variable has a tendency to also increase; • Negative correlation – the other variable has a tendency to decrease; • No correlation – the other variable does not tend to either increase or decrease.