Korrelatsioonitüüpide
Korrelatsioonitüüpide is a broad term referring to the different ways two variables can relate to each other in statistical analysis. The most common type is linear correlation, which describes a relationship where a change in one variable is associated with a proportional change in the other. This can be positive, meaning both variables increase or decrease together, or negative, meaning as one variable increases, the other decreases. The strength of a linear correlation is measured by the correlation coefficient, often denoted by Pearson's r, which ranges from -1 to +1. A value of +1 indicates a perfect positive linear correlation, -1 indicates a perfect negative linear correlation, and 0 suggests no linear correlation.
Beyond linear correlation, there are also non-linear correlations. These occur when the relationship between variables does
It's important to distinguish correlation from causation. Correlation simply indicates that two variables tend to move