Given: The paired sample data of the height and weight of supermodels result in

Question

Given: The paired sample data of the height and weight of supermodels result in a linear correlation coefficient very close to 0 Conclusion: Taller supermodels tend to weigh more. Describe the error in the stated conclusion. A A linear correlation coefficient very close o o implies hat here is a linear corre ation but could be a negative o re a on nstead on a ositive correlation as O B. A linear correlation coefficient very close to 0 implies that there is a linear correlation between the averages, but a correlation between the averages does not ° C. With a linear correlation coefficient very close to 0, we should conclude that there is not a linear correlation, so there does not appear to be a correlation the conclusion incormectly suggests y suggests. between height and weight as the conclusion incorrectly suggests Correlation does not imply causality as the conclusion incorrectly suggests D.

Explanation / Answer

Solution:-

C) WIth a linear coorrelation coefficient very close to 0, we should conclude that there is not a linear correlation, so there does not appear to be a correlation between height and weight as the conclusion incorrecty suggests.

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