Types of correlation:

✅Explanation:
Correlation is a statistical measure that expresses the extent to which two variables are linearly related.
-Positive/negative correlation indicates the direction of the relationship: positive (both variables increase or decrease together) or negative (one variable increases while the other decreases).
-Simple correlation measures the relationship between two variables, while partial correlation measures the relationship between two variables while controlling for the effect of one or more additional variables. Multiple correlation measures the relationship between one variable and a combination of two or more other variables.
-Linear correlation assumes a straight-line relationship between variables, while nonlinear correlation describes relationships that are not well-represented by a straight line.