If a scatter plot shows points that are closely clustered together, what can you infer about the correlation between the variables?

When a scatter plot displays points that are closely clustered together, it typically indicates a strong correlation between the two variables. If the points trend upwards, it shows a positive correlation, meaning as one variable increases, so does the other. Conversely, if the points trend downwards, this suggests a negative correlation, where an increase in one variable corresponds to a decrease in the other. The degree of clustering provides insight into how predictably the variables relate to one another.

However, remember that correlation doesn’t imply causation! Just because two variables are closely linked doesn’t mean one causes the other. They might both be influenced by a third variable or simply show a coincidental relationship. It’s crucial to dig deeper and understand the context behind the data before jumping to conclusions!