Correlation coefficient:
X | Y | xy | x2 | y2 | |
49.3 | 155.2 | 7651.36 | 2430.49 | 24087.04 | |
6.7 | 32.3 | 216.41 | 44.89 | 1043.29 | |
47.6 | 50.9 | 2422.84 | 2265.76 | 2590.81 | |
44.3 | 44.8 | 1984.64 | 1962.49 | 2007.04 | |
29.8 | 5.7 | 169.86 | 888.04 | 32.49 | |
15.6 | -30.2 | -471.12 | 243.36 | 912.04 | |
33.2 | -16.8 | -557.76 | 1102.24 | 282.24 | |
27.9 | -45.9 | -1280.61 | 778.41 | 2106.81 | |
21 | -22.1 | -464.1 | 441 | 488.41 | |
39.2 | -3.1 | -121.52 | 1536.64 | 9.61 | |
46.4 | -113.1 | -5247.84 | 2152.96 | 12791.61 | |
total | 361 | 57.7 | 4302.16 | 13846.28 | 46351.39 |
n | 11 |
Correlation coefficeint:
X | Y | xy | x2 | y2 | |
48.4 | 43.3 | 2095.72 | 2342.56 | 1874.89 | |
35.2 | 40.7 | 1432.64 | 1239.04 | 1656.49 | |
92.8 | 253.4 | 23515.52 | 8611.84 | 64211.56 | |
66.7 | 259.2 | 17288.64 | 4448.89 | 67184.64 | |
61.1 | -69.2 | -4228.12 | 3733.21 | 4788.64 | |
46.8 | -68.5 | -3205.8 | 2190.24 | 4692.25 | |
64.4 | 23.8 | 1532.72 | 4147.36 | 566.44 | |
62 | 217.7 | 13497.4 | 3844 | 47393.29 | |
74.9 | 24.8 | 1857.52 | 5610.01 | 615.04 | |
54.3 | -26.1 | -1417.23 | 2948.49 | 681.21 | |
total | 606.6 | 699.1 | 52369.01 | 39115.64 | 193664.45 |
n | 10 |
what proportion of the variation in y can be explained by the variation in the values of x?
r2=(0.543)2
=0.2948
=0.29
29%proportion of the variation in y can be explained by the variation in the values of x
ns Here is a bivariate data set. 49.3 155.2 6.7 32.3 47.6 $0.9 44.3 44.8 (0/10)...