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The radius and circumference of several objects were measured.
A 2-column table with 4 rows. The first column is labeled radius (inches) with entries 3, 4, 6, 9. The second column is labeled circumference (inches) with entries 18.8, 25.1, 37.7, 56.5.
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.
Answers
Step-by-step explanation:
HELP ASAP BEING TIME WILL MARK BRAINLEIST!!!!!
The radius and circumference of several objects were measured.
A 2-column table with 4 rows. The first column is labeled radius (inches) with entries 3, 4, 6, 9. The second column is labeled circumference (inches) with entries 18.8, 25.1, 37.7, 56.5.
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.
Answer: It was determined by measuring both the radius and the circumference of a number of different items.
Step-by-step explanation:
- A table with two columns and four rows. The first column is named "radius," and it has the numbers 3, 4, 6, and 9 in its entries. The second column is headed "circumference (inches)," and it has the following entries: 18.8, 25.1, 37.7, and 56.5.
- Which of these phrases best encapsulates the extent of the connection, and which of the following statements regarding the relationships between the variables is accurate?
- There is some evidence of a positive link, although it is unlikely to be causative.
- Although the association is only weakly positive, it is very likely to be causative.
- There is a significant positive association between the two, although it is unlikely to be causative.
- There is a robust positive correlation, which suggests that the relationship is likely causative.
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