Respuesta :
Answer:
Answer: Yes, There is a linear correlation between the weights of the bears and their chest sizes because the absolute value of the test statistics 0.961 exceeds the critical value
Explanation:
Claim: There is a linear correlation between the weights of the bears and their chest sizes
Null hypothesis, H₀ : p=0 (there is no significant correlation)
Alternative hypothesis, H₁ : p ≠0 (there is no significant correlation)
Level of significance, α = 0.05
Decision rule: Reject H₀ if robserved ≥ rcritical
Sample correlation coefficient r = robserved = 0.961
Yes, There is a linear correlation between the weights of the bears and their chest sizes because the absolute value of the test statistics 0.961 exceeds the critical value
It can be inferred that there is a linear correlation between the weights of bears and their chest sizes. Therefore, it's logically correct.
From the information given, it should be noted that the null hypothesis states that there's is no significant relationship between the variables.
On the other hand, the alternative hypothesis implies that there's a significant relationship. From the data set, there's a linear correlation between the weights of bears and their chest sizes.
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