In this following test, a group of scientists conducted a correlation analysis between the total length of possums with the length of possums' heads. Which of the following conclusions is correct? > cor.test(possum$totalL, possum$headL) Pearson's product-moment correlation data: possum$totalL and possum$headL t = 9.6569, df = 102, p-value = 4.681e-16 alternative hypothesis: true correlation is not equal to 0 95 nercent confidence interval:

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In this following test, a group of scientists conducted a correlation analysis
between the total length of possums with the length of possums' heads.
Which of the following conclusions is correct?
> cor.test(possum$totalL, possum$headL)
Pearson's product-moment correlation
data: possum$totalL and possum$headL
t = 9.6569, df = 102, p-value = 4.681e-16
%3D
%3D
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
0.5750415 0.7798823
sample estimates:
cor
0.6910937
There is no difference between total length and head length.
There is no association between total length and head length.
There is a significant association between total length and head length.
There is a significant functional relationship between total length and head length.
Transcribed Image Text:In this following test, a group of scientists conducted a correlation analysis between the total length of possums with the length of possums' heads. Which of the following conclusions is correct? > cor.test(possum$totalL, possum$headL) Pearson's product-moment correlation data: possum$totalL and possum$headL t = 9.6569, df = 102, p-value = 4.681e-16 %3D %3D alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5750415 0.7798823 sample estimates: cor 0.6910937 There is no difference between total length and head length. There is no association between total length and head length. There is a significant association between total length and head length. There is a significant functional relationship between total length and head length.
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