If the covariance between two variables is near 0 , it implies that the variables are strongly related the variables are not linearly related a positive relationship exists between the variables the variables are negatively related
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If the covariance between two variables is near 0, it generally indicates that they are not linearly related. In essence, it suggests that changes in one variable do not predict changes in the other in a consistent manner. They might still be related in a non-linear fashion or not related at all, so it’s a sign to dig a little deeper! In the world of statistics, understanding covariance is crucial for building models. You wouldn't want to assume a strong relationship based on a near-zero covariance! Always consider visualizing your data with scatterplots, as they can help highlight any potential relationships—linear or otherwise!