Scatterplots can show correlations among more than two attributes at once.

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Multiple Choice

Scatterplots can show correlations among more than two attributes at once.

Explanation:
Scatterplots are two-dimensional by design: one variable on the horizontal axis and another on the vertical axis. The pattern of points shows how those two variables relate — whether they rise together, fall together, or show little relationship, and how strong that relationship is. Because there are only two axes, a standard scatterplot cannot display correlations among more than two attributes at once. To examine relationships across many attributes, you’d use a scatterplot matrix (pairs plot) that lays out all pairwise relationships, or encode a third variable with color or size across multiple plots. But a single scatterplot can only convey the relationship between two variables, so the statement is false.

Scatterplots are two-dimensional by design: one variable on the horizontal axis and another on the vertical axis. The pattern of points shows how those two variables relate — whether they rise together, fall together, or show little relationship, and how strong that relationship is. Because there are only two axes, a standard scatterplot cannot display correlations among more than two attributes at once. To examine relationships across many attributes, you’d use a scatterplot matrix (pairs plot) that lays out all pairwise relationships, or encode a third variable with color or size across multiple plots. But a single scatterplot can only convey the relationship between two variables, so the statement is false.

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