For the following data (a) display the data in a scatter plot, (b) calculate the sample correlation coefficient r, and (c) make a conclusion about the type of correlation. Use technology.
The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a 10-meter sprint for 12 international soccer players are shown in the attached data table.
Maximum_Weight,_x Time,_y
170 1.78
175 1.75
150 2.04
210 1.42
150 2.05
185 1.62
185 1.72
160 1.91
190 1.59
180 1.65
165 1.96
165 1.89
(b) The correlation coefficient r is
(c) make a conclusion about the type of correlation
X | y | (x-xbar)^2 | (y-ybar)^2 | (x-xbar)(y-ybar) |
170 175 150 210 150 185 185 160 190 180 165 165 |
1.78 1.75 2.04 1.42 2.05 1.62 1.72 1.91 1.59 1.65 1.96 1.89 |
14.062 Sum: 3356.250 |
0.000 Sum: 0.415 |
0.006 Sum: -36.375 |
1) scatter plot
2) correlation coefficient
∑ x= 2085
Mean = 173.75
∑(X - Mx)2 = SSx = 3356.25
Y Values
∑y = 21.38
Mean = 1.782
∑(Y - My)2 = SSy = 0.415
X and Y Combined
N = 12
∑(X - Mx)(Y - My) = -36.375
R Calculation
r = ∑((X - My)(Y - Mx)) / √((SSx)(SSy))
r = -36.375 / √((3356.25)(0.415)) = -0.9752
3) there is strong negative relation between x and y.
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