If the data in a scatter plot form a nearly perfect circle, the Pearson correlation would be approximately .

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Step-by-step explanation:

Pearson correlation coefficient represented by r is calculated by dividing  the covariance by the standard deviation of one variable(x) multiply by the standard deviation of the other variable(y).

A scatter plot diagram is a graphical display of data that in which these two variables are observed simultaneously.

A positive correlation is said to have a positive slope which means that the two variable x and y increases in x as there is increase in y.

On the other hand , when there is an increase in x and a decrease in y, the correlation between x and y is said to be negative and the corresponding regression line has a negative slope.

Occasionally, there may be no apparent association between x and y. In that wise, the data in the scatter plot diagram usually form a nearly perfect circle and are said to have a zero correlation.

54.864 meters

step-by-step explanation: