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The radius and circumference of several objects were measured. Which best describes the strength of the correlation, and what is true about the causation between the variables? It is a weak positive correlation, and it is not likely causal. It is a weak positive correlation, and it is likely causal. It is a strong positive correlation, and it is not likely causal. It is a strong positive correlation, and it is likely causal.

the radius and circumference of the objects
radius (In). circumference (In)
3. 18.8
4 25.1
6 37.7
9 56.5

Respuesta :

D. It is a strong positive correlation, and it is likely causal.


Answer:

It is a strong positive correlation, and it is likely causal.

Step-by-step explanation:

A screenshot of the graph is attached.

As we can see in the graph, a line would fit this data very well.  This means that the data has a strong correlation.  The y-values increase as x increases; this means the data has a positive correlation.

Since the circumference of a circle and its radius are directly related, this relationship is likely causal.

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