QUESTION IMAGE
Question
ryan gathered data about the age of the different dogs in his neighborhood and the length of their tails. lengths of tails for dogs of different ages
| age (years) | length of tail (in.) | |
|---|---|---|
| 3 | 0 | |
| 6 | 7 | |
| 10 | 4 | which best describes the strength of the correlation, and what is true about the causation between the variables? it is a weak negative correlation, and it is not likely causal. it is a weak negative correlation, and it is likely causal. it is a strong negative correlation, and it is not likely causal. it is a strong negative correlation, and it is likely causal. |
Step1: Observe data trend
As age increases (2, 3, 6, 10), tail - length (12, 0, 7, 4) generally decreases, indicating a negative correlation.
Step2: Analyze data points
There are only 4 data points. With such a small sample size, the relationship is not very strong. Also, there is no logical reason for age to directly cause tail - length change.
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It is a weak negative correlation, and it is not likely causal.