Weak correlation refers to a statistical relationship between two variables that indicates a slight tendency for the variables to move together, but the relationship is not strong enough to predict one variable based on the other reliably. In covariance and correlation analysis, weak correlation suggests that as one variable changes, the other variable may change but not in a consistent or predictable manner. Understanding weak correlation is essential for interpreting data and making informed decisions in statistical analysis.
congrats on reading the definition of weak correlation. now let's actually learn it.