Coeficiente de correlacion lineal 5 2

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Diagrama de Dispersión

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Coeficiente de correlacion lineal 5 2

  1. 1. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15∑scx=scy=scxy=r=r2 2214.39178 4833535.5 1469.1 1495.6 1496.7 1527.6
  2. 2. x y 1262.4 12.3 1285.1 15.7 1305.3 14.8 1310.7 14.9 1319.1 14 1325.6 16 1350.9 14.1 1391.9 13.3 1402.6 16.6 1412.5 15.7 1434.3 16 1469.1 16.2 1495.6 15 1496.7 19.9 1527.6 18 20789.4 232.5 101564.436 48.28 1475.48 0.66631389 0.4439742 1469.1 1495.6 1496.7 1527.6
  3. 3. x2 y2 1593653.76 151.29 1651482.01 246.49 1703808.09 219.04 1717934.49 222.01 1740024.81 196 1757215.36 256 1824930.81 198.81 1937385.61 176.89 1967286.76 275.56 1995156.25 246.49 2057216.49 256 2158254.81 262.44 2236819.36 225 2240110.89 396.01 2333561.76 324 28914841.3 3652.03a1 0.014527526a0 -4.63457014x y= 1262.4 13.70497887 1285.1 14.03475371 1305.3 14.32820974 1310.7 14.40665838 1319.1 14.5286896 1325.6 14.62311852 1350.9 14.99066493 1391.9 15.58629351 1402.6 15.74173804 1412.5 15.88556054 1434.3 16.20226061 1469.1 16.70781852 1495.6 17.09279797 1496.7 17.10877825 1527.6 17.5576788
  4. 4. xy 15527.52 20176.07 19318.44 19529.43 18467.4 21209.6 19047.69 18512.27 23283.16 22176.25 22948.8 23799.42 22434 29784.33 27496.8 323711.18
  5. 5. a1n.xy 4855667.7x.y 4833535.5n.x2 433722619(sx)2 432199152 22 20 y = 0.0145x R² = 0.444 18 16 14 12 10 1200 1250 1300
  6. 6. = 22132.2 = 1523466.54y = 0.0145x - 4.6346 R² = 0.444 1350 1400 1450 1500
  7. 7. a0sx 2 . Syx. sxyn . Sx 2(sx)21500 1550
  8. 8. 6722700592.95 6729761205.49 433722618.9 432199152.41550
  9. 9. = -7060612.54= 1523466.54

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