If a scatter plot shows points that are closely clustered together, what can you infer about the correlation between the variables?
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If a scatter plot shows points that are tightly clustered together, it suggests a strong correlation between the two variables. This means that as one variable increases or decreases, the other variable tends to do the same in a predictable manner. If the points trend upwards, it's a positive correlation, while a downward trend indicates a negative correlation. However, be on the lookout for common pitfalls! Just because the points are clustered doesn't mean causation exists. Correlation does not imply that one variable causes changes in the other; there might be an unseen variable influencing both. Always dig deeper for the story behind the data!