You can use the Pearson's correlation coefficient formula to calculate the correlation coefficient for given set of data.
The correlation coefficient for the given set of data is given by
Option B: -0.21
How can we calculate the Pearson's correlation coefficient from the coordinates of data point?
The correlation coefficient(denoted by r) for given data points can be calculated as:
[tex]r = \dfrac{\sum (x_i - \overline{x})(y_i - \overline{y})}{\sqrt{\sum (x_i - \overline{x})^2\sum (y_i - \overline{y})^2}}[/tex]
where
[tex](x_i, y_i) = \text{data points' coordinates}\\\overline{x} = \text{mean of values of x variables}\\\overline{y} = \text{mean of values of y variables}[/tex]
Using above formula for given data points,
[tex](x_1, y_1) = (1,4)\\(x_2, y_2) = (2,1.5)\\(x_3, y_3) = (3,3)\\(x_4, y_4) = (4,4)\\(x_5, y_5) = (5,2)[/tex]
The mean of x values is (1+2+3+4+5)/5 = 3
Similarly, mean of y values is 2.9
Putting in the formula, we get:
r = -1.5 / √((10)(5.2)) = -0.208
Thus,
The correlation coefficient for the given set of data is given by
Option B: -0.21
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