166:@0.054582:0.966558:0.078778:0.966558:0.078778:0.950778:0.054582:0.950778:0.000000:0.000000:0.000000
Dependencia lineal y covarianza:@0.404235:0.117192:0.800965:0.117192:0.800965:0.072532:0.404235:0.072532:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.22. Calcular la covarianza de dos variables aleatorias para determinar la dependencia lineal (directa, indirecta o no existente) entre dichas variables aleatorias. :@0.148948:0.943402:0.848932:0.943402:0.848932:0.933360:0.148948:0.933360:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.23. Determinar la recta de regresión lineal que pasa por el centro de gravedad de la distribución para predecir valores de la variable dependiente, utilizando la recta de :@0.148948:0.952203:0.888574:0.952203:0.888574:0.942161:0.148948:0.942161:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
regresión lineal, o calcular otra recta de regresión intercambiando las variables para predecir la otra variable.:@0.148948:0.961005:0.610704:0.961005:0.610704:0.950962:0.148948:0.950962:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Se dispone del conjunto de datos:    = {( ,  )     |   = 1, …,  }.:@0.404235:0.152179:0.857560:0.152179:0.857560:0.135682:0.404235:0.135682:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.653178:0.152295:0.661058:0.152295:0.661058:0.135826:0.653178:0.135826:0.000000
x y:@0.691959:0.152295:0.716750:0.152295:0.716750:0.135826:0.691959:0.135826:0.000000:0.000000:0.000000
i:@0.699392:0.155525:0.701604:0.155525:0.701604:0.145923:0.699392:0.145923:0.000000
i:@0.716710:0.155525:0.718923:0.155525:0.718923:0.145923:0.716710:0.145923:0.000000
:@0.729018:0.151661:0.743671:0.151661:0.743671:0.138287:0.729018:0.138287:0.000000
R:@0.747813:0.151092:0.761118:0.151092:0.761118:0.138230:0.747813:0.138230:0.000000
2:@0.761118:0.145826:0.766071:0.145826:0.766071:0.136208:0.761118:0.136208:0.000000
i:@0.779363:0.152295:0.783158:0.152295:0.783158:0.135826:0.779363:0.135826:0.000000
n:@0.839586:0.152295:0.848949:0.152295:0.848949:0.135826:0.839586:0.135826:0.000000
Interesa saber qué tan precisa es la función que consiste en un poli-:@0.404229:0.186881:0.891716:0.186881:0.891716:0.170383:0.404229:0.170383:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
nomio de grado ≤ 1, obtenido con el método de mínimos cuadrados, :@0.404229:0.204232:0.895906:0.204232:0.895906:0.187734:0.404229:0.187734:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
llamado recta de regresión, de modo que pueda ser utilizado para :@0.404229:0.221582:0.895831:0.221582:0.895831:0.205085:0.404229:0.205085:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
predecir o calcular el valor de   para un dato particular  . Más aún, :@0.404229:0.238933:0.895933:0.238933:0.895933:0.222435:0.404229:0.222435:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.624391:0.239049:0.632078:0.239049:0.632078:0.222580:0.624391:0.222580:0.000000
x:@0.810607:0.239049:0.818082:0.239049:0.818082:0.222580:0.810607:0.222580:0.000000
interesa determinar cuándo hay una dependencia lineal entre las dos :@0.404229:0.256284:0.895914:0.256284:0.895914:0.239786:0.404229:0.239786:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
variables. Para ello, obtenemos la dispersión de valores de   alrededor :@0.404229:0.273635:0.895902:0.273635:0.895902:0.257137:0.404229:0.257137:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.809931:0.273750:0.817406:0.273750:0.817406:0.257282:0.809931:0.257282:0.000000
i:@0.817439:0.276980:0.819652:0.276980:0.819652:0.267379:0.817439:0.267379:0.000000
de la media aritmética  . Tomando en consideración la definición de :@0.404235:0.290985:0.895935:0.290985:0.895935:0.274488:0.404235:0.274488:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.567641:0.291101:0.575116:0.291101:0.575116:0.274632:0.567641:0.274632:0.000000
media aritmética,:@0.404235:0.308336:0.527591:0.308336:0.527591:0.291838:0.404235:0.291838:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.566237:0.343153:0.573712:0.343153:0.573712:0.326685:0.566237:0.326685:0.000000
 =                     =  ,:@0.573712:0.343038:0.729760:0.343038:0.729760:0.326540:0.573712:0.326540:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
⇒:@0.638371:0.342393:0.656559:0.342393:0.656559:0.325451:0.638371:0.325451:0.000000
x:@0.681408:0.343153:0.688883:0.343153:0.688883:0.326685:0.681408:0.326685:0.000000
i:@0.688844:0.346383:0.691057:0.346383:0.691057:0.336782:0.688844:0.336782:0.000000
nx:@0.710148:0.343153:0.727005:0.343153:0.727005:0.326685:0.710148:0.326685:0.000000:0.000000
 :@0.404235:0.360388:0.408377:0.360388:0.408377:0.343891:0.404235:0.343891:0.000000
y las propiedades del sumatorio, se tiene::@0.404235:0.377739:0.692980:0.377739:0.692980:0.361241:0.404235:0.361241:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
          (  –  )  =      (  – 2:@0.463803:0.412441:0.646910:0.412441:0.646910:0.395943:0.463803:0.395943:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.511176:0.412556:0.518651:0.412556:0.518651:0.396088:0.511176:0.396088:0.000000
i:@0.518606:0.415786:0.520819:0.415786:0.520819:0.406185:0.518606:0.406185:0.000000
x:@0.539603:0.412556:0.547078:0.412556:0.547078:0.396088:0.539603:0.396088:0.000000
2:@0.553029:0.406089:0.557982:0.406089:0.557982:0.396471:0.553029:0.396471:0.000000
x:@0.603738:0.412556:0.611213:0.412556:0.611213:0.396088:0.603738:0.396088:0.000000
i :@0.611174:0.415786:0.615801:0.415786:0.615801:0.406185:0.611174:0.406185:0.000000:0.000000
2:@0.614678:0.406092:0.619631:0.406092:0.619631:0.396474:0.614678:0.396474:0.000000
x x x:@0.646910:0.412556:0.693015:0.412556:0.693015:0.396088:0.646910:0.396088:0.000000:0.000000:0.000000:0.000000:0.000000
i :@0.654346:0.415786:0.658974:0.415786:0.658974:0.406185:0.654346:0.406185:0.000000:0.000000
 +  ) =        –             .:@0.666448:0.412441:0.832206:0.412441:0.832206:0.395943:0.666448:0.395943:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2:@0.694363:0.406089:0.699316:0.406089:0.699316:0.396471:0.694363:0.396471:0.000000
x:@0.745070:0.412556:0.752544:0.412556:0.752544:0.396088:0.745070:0.396088:0.000000
i :@0.752505:0.415786:0.757133:0.415786:0.757133:0.406185:0.752505:0.406185:0.000000:0.000000
2:@0.756009:0.406092:0.760963:0.406092:0.760963:0.396474:0.756009:0.396474:0.000000
Entonces, la dispersión de valores de   alrededor de   está definida :@0.404229:0.450699:0.895876:0.450707:0.895876:0.434209:0.404229:0.434201:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.674247:0.450815:0.681722:0.450815:0.681722:0.434346:0.674247:0.434346:0.000000
i:@0.681730:0.454051:0.683942:0.454051:0.683942:0.444449:0.681730:0.444449:0.000000
x:@0.786757:0.450822:0.794232:0.450822:0.794232:0.434353:0.786757:0.434353:0.000000
como::@0.404230:0.468057:0.448772:0.468057:0.448772:0.451560:0.404230:0.451560:0.000000:0.000000:0.000000:0.000000:0.000000
s:@0.404230:0.510003:0.410607:0.510003:0.410607:0.493534:0.404230:0.493534:0.000000
x:@0.410610:0.513231:0.414968:0.513231:0.414968:0.503629:0.410610:0.503629:0.000000
2:@0.414968:0.503537:0.419921:0.503537:0.419921:0.493918:0.414968:0.493918:0.000000
 =                 (  –  )  =                    –               . Nota que   > 0.:@0.419921:0.509886:0.859993:0.509886:0.859993:0.493389:0.419921:0.493389:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.511239:0.510002:0.518714:0.510002:0.518714:0.493533:0.511239:0.493533:0.000000
i:@0.518673:0.513231:0.520886:0.513231:0.520886:0.503629:0.518673:0.503629:0.000000
x:@0.539668:0.510002:0.547143:0.510002:0.547143:0.493533:0.539668:0.493533:0.000000
2:@0.553096:0.503533:0.558049:0.503533:0.558049:0.493915:0.553096:0.493915:0.000000
x:@0.647556:0.510002:0.655031:0.510002:0.655031:0.493533:0.647556:0.493533:0.000000
i :@0.654991:0.513231:0.659619:0.513231:0.659619:0.503629:0.654991:0.503629:0.000000:0.000000
2:@0.658495:0.503537:0.663449:0.503537:0.663449:0.493918:0.658495:0.493918:0.000000
s:@0.818918:0.510002:0.825295:0.510002:0.825295:0.493533:0.818918:0.493533:0.000000
x:@0.825293:0.513231:0.829650:0.513231:0.829650:0.503629:0.825293:0.503629:0.000000
Definición :@0.404235:0.552179:0.491102:0.552179:0.491102:0.535233:0.404235:0.535233:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
. La :@0.484320:0.551716:0.512409:0.551716:0.512409:0.535219:0.484320:0.535219:0.000000:0.000000:0.000000:0.000000:0.000000
covarianza:@0.513391:0.551933:0.592165:0.551933:0.592165:0.535219:0.513391:0.535219:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 muestral se denota con :@0.592167:0.551716:0.771486:0.551716:0.771486:0.535219:0.592167:0.535219:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cov x y:@0.772469:0.551832:0.824679:0.551832:0.824679:0.535363:0.772469:0.535363:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
( ,  ) y se de-:@0.795685:0.551716:0.891800:0.551716:0.891800:0.535219:0.795685:0.535219:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
fine como:  :@0.404235:0.569067:0.487981:0.569067:0.487981:0.552569:0.404235:0.552569:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cov x y:@0.544274:0.603884:0.595539:0.603884:0.595539:0.587415:0.544274:0.587415:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
( ,  ) =                                .:@0.567527:0.603769:0.751741:0.603769:0.751741:0.587271:0.567527:0.587271:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La covarianza puede ser positiva, cero o negativa. Tomando en cuenta :@0.404235:0.638470:0.895936:0.638470:0.895936:0.621972:0.404235:0.621972:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
las relaciones:@0.404235:0.655821:0.496725:0.655821:0.496725:0.639323:0.404235:0.639323:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.404235:0.697766:0.411709:0.697766:0.411709:0.681297:0.404235:0.681297:0.000000
 =                    =  ,                  =                    =  ,:@0.411709:0.697651:0.789851:0.697651:0.789851:0.681153:0.411709:0.681153:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
⇒:@0.476362:0.697006:0.494550:0.697006:0.494550:0.680064:0.476362:0.680064:0.000000
x:@0.515257:0.697766:0.522732:0.697766:0.522732:0.681297:0.515257:0.681297:0.000000
i:@0.522692:0.700995:0.524905:0.700995:0.524905:0.691393:0.522692:0.691393:0.000000
nx:@0.543997:0.697766:0.560854:0.697766:0.560854:0.681297:0.543997:0.681297:0.000000:0.000000
y:@0.629882:0.697766:0.637569:0.697766:0.637569:0.681297:0.629882:0.681297:0.000000
⇒:@0.702218:0.697006:0.720406:0.697006:0.720406:0.680064:0.702218:0.680064:0.000000
y:@0.741113:0.697766:0.748799:0.697766:0.748799:0.681297:0.741113:0.681297:0.000000
i:@0.748761:0.700995:0.750974:0.700995:0.750974:0.691393:0.748761:0.691393:0.000000
ny:@0.770066:0.697766:0.787096:0.697766:0.787096:0.681297:0.770066:0.681297:0.000000:0.000000
se obtiene, :@0.404238:0.729258:0.484591:0.729258:0.484591:0.712760:0.404238:0.712760:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cov x y:@0.449819:0.771203:0.501084:0.771203:0.501084:0.754735:0.449819:0.754735:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
( ,  ) =                                 =                                          :@0.473073:0.771088:0.843447:0.771088:0.843447:0.754590:0.473073:0.754590:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.512509:0.827174:0.523316:0.827174:0.523316:0.810676:0.512509:0.810676:0.000000
 :@0.404238:0.883376:0.408380:0.883376:0.408380:0.866907:0.404238:0.866907:0.000000
=                         =                                           .:@0.512509:0.883260:0.820462:0.883260:0.820462:0.866763:0.512509:0.866763:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.664069:0.346292:0.679448:0.346292:0.679448:0.320470:0.664069:0.320470:0.000000
n:@0.669504:0.326926:0.674962:0.326926:0.674962:0.317325:0.669504:0.317325:0.000000
i:@0.665505:0.351987:0.667718:0.351987:0.667718:0.342386:0.665505:0.342386:0.000000
=1:@0.667718:0.351920:0.678972:0.351920:0.678972:0.342302:0.667718:0.342302:0.000000:0.000000
∑:@0.600356:0.330402:0.615735:0.330402:0.615735:0.304580:0.600356:0.304580:0.000000
n:@0.605791:0.311035:0.611250:0.311035:0.611250:0.301434:0.605791:0.301434:0.000000
i:@0.601793:0.336096:0.604005:0.336096:0.604005:0.326495:0.601793:0.326495:0.000000
=1:@0.604005:0.336029:0.615259:0.336029:0.615259:0.326411:0.604005:0.326411:0.000000:0.000000
∑:@0.788446:0.399480:0.803824:0.399480:0.803824:0.373657:0.788446:0.373657:0.000000
n:@0.793880:0.380113:0.799339:0.380113:0.799339:0.370511:0.793880:0.370511:0.000000
i:@0.789882:0.405174:0.792094:0.405174:0.792094:0.395572:0.789882:0.395572:0.000000
=1:@0.792094:0.405106:0.803348:0.405106:0.803348:0.395488:0.792094:0.395488:0.000000:0.000000
∑:@0.694131:0.497239:0.709510:0.497239:0.709510:0.471416:0.694131:0.471416:0.000000
n:@0.699566:0.477872:0.705024:0.477872:0.705024:0.468270:0.699566:0.468270:0.000000
i:@0.695567:0.502933:0.697780:0.502933:0.697780:0.493331:0.695567:0.493331:0.000000
=1:@0.697780:0.502865:0.709034:0.502865:0.709034:0.493247:0.697780:0.493247:0.000000:0.000000
∑:@0.624338:0.590837:0.639716:0.590837:0.639716:0.565015:0.624338:0.565015:0.000000
n:@0.629772:0.571471:0.635231:0.571471:0.635231:0.561870:0.629772:0.561870:0.000000
i:@0.625774:0.596532:0.627986:0.596532:0.627986:0.586931:0.625774:0.586931:0.000000
=1:@0.627986:0.596465:0.639240:0.596465:0.639240:0.586847:0.627986:0.586847:0.000000:0.000000
∑:@0.535761:0.758489:0.551140:0.758489:0.551140:0.732667:0.535761:0.732667:0.000000
n:@0.541195:0.739122:0.546654:0.739122:0.546654:0.729521:0.541195:0.729521:0.000000
i:@0.537197:0.764184:0.539410:0.764184:0.539410:0.754582:0.537197:0.754582:0.000000
=1:@0.539410:0.764116:0.550664:0.764116:0.550664:0.754498:0.539410:0.754498:0.000000:0.000000
∑:@0.683182:0.758489:0.698561:0.758489:0.698561:0.732667:0.683182:0.732667:0.000000
n:@0.688616:0.739122:0.694075:0.739122:0.694075:0.729521:0.688616:0.729521:0.000000
i:@0.684618:0.764184:0.686831:0.764184:0.686831:0.754582:0.684618:0.754582:0.000000
=1:@0.686831:0.764116:0.698085:0.764116:0.698085:0.754498:0.686831:0.754498:0.000000:0.000000
∑:@0.534086:0.814652:0.549464:0.814652:0.549464:0.788829:0.534086:0.788829:0.000000
n:@0.539520:0.795286:0.544979:0.795286:0.544979:0.785685:0.539520:0.785685:0.000000
i:@0.535522:0.820347:0.537734:0.820347:0.537734:0.810746:0.535522:0.810746:0.000000
=1:@0.537734:0.820280:0.548988:0.820280:0.548988:0.810662:0.537734:0.810662:0.000000:0.000000
∑:@0.534086:0.870270:0.549464:0.870270:0.549464:0.844447:0.534086:0.844447:0.000000
n:@0.539520:0.850904:0.544979:0.850904:0.544979:0.841303:0.539520:0.841303:0.000000
i:@0.535522:0.875965:0.537734:0.875965:0.537734:0.866364:0.535522:0.866364:0.000000
=1:@0.537734:0.875898:0.548988:0.875898:0.548988:0.866280:0.537734:0.866280:0.000000:0.000000
∑:@0.650825:0.870270:0.666203:0.870270:0.666203:0.844447:0.650825:0.844447:0.000000
n:@0.656259:0.850904:0.661718:0.850904:0.661718:0.841303:0.656259:0.841303:0.000000
i:@0.652261:0.875965:0.654473:0.875965:0.654473:0.866364:0.652261:0.866364:0.000000
=1:@0.654473:0.875898:0.665728:0.875898:0.665728:0.866280:0.654473:0.866280:0.000000:0.000000
∑:@0.592759:0.814652:0.608138:0.814652:0.608138:0.788829:0.592759:0.788829:0.000000
n:@0.598194:0.795286:0.603652:0.795286:0.603652:0.785685:0.598194:0.785685:0.000000
i:@0.594195:0.820347:0.596408:0.820347:0.596408:0.810746:0.594195:0.810746:0.000000
=1:@0.596408:0.820280:0.607662:0.820280:0.607662:0.810662:0.596408:0.810662:0.000000:0.000000
∑:@0.647290:0.814652:0.662669:0.814652:0.662669:0.788829:0.647290:0.788829:0.000000
n:@0.652724:0.795286:0.658183:0.795286:0.658183:0.785685:0.652724:0.785685:0.000000
i:@0.648726:0.820347:0.650939:0.820347:0.650939:0.810746:0.648726:0.810746:0.000000
=1:@0.650939:0.820280:0.662193:0.820280:0.662193:0.810662:0.650939:0.810662:0.000000:0.000000
∑:@0.702573:0.814652:0.717952:0.814652:0.717952:0.788829:0.702573:0.788829:0.000000
n:@0.708007:0.795286:0.713466:0.795286:0.713466:0.785685:0.708007:0.785685:0.000000
i:@0.704009:0.820347:0.706222:0.820347:0.706222:0.810746:0.704009:0.810746:0.000000
=1:@0.706222:0.820280:0.717476:0.820280:0.717476:0.810662:0.706222:0.810662:0.000000:0.000000
∑:@0.489290:0.415058:0.504668:0.415058:0.504668:0.389235:0.489290:0.389235:0.000000
n:@0.494724:0.395692:0.500183:0.395692:0.500183:0.386091:0.494724:0.386091:0.000000
i:@0.490726:0.420753:0.492938:0.420753:0.492938:0.411152:0.490726:0.411152:0.000000
=1:@0.492938:0.420685:0.504193:0.420685:0.504193:0.411067:0.492938:0.411067:0.000000:0.000000
∑:@0.487812:0.512028:0.503191:0.512028:0.503191:0.486206:0.487812:0.486206:0.000000
n:@0.493247:0.492662:0.498705:0.492662:0.498705:0.483061:0.493247:0.483061:0.000000
i:@0.489248:0.517724:0.491461:0.517724:0.491461:0.508122:0.489248:0.508122:0.000000
=1:@0.491461:0.517656:0.502715:0.517656:0.502715:0.508038:0.491461:0.508038:0.000000:0.000000
∑:@0.499038:0.699936:0.514417:0.699936:0.514417:0.674113:0.499038:0.674113:0.000000
n:@0.504472:0.680570:0.509931:0.680570:0.509931:0.670969:0.504472:0.670969:0.000000
i:@0.500474:0.705631:0.502687:0.705631:0.502687:0.696030:0.500474:0.696030:0.000000
=1:@0.502687:0.705563:0.513941:0.705563:0.513941:0.695945:0.502687:0.695945:0.000000:0.000000
∑:@0.723441:0.699936:0.738820:0.699936:0.738820:0.674113:0.723441:0.674113:0.000000
n:@0.728876:0.680570:0.734334:0.680570:0.734334:0.670969:0.728876:0.670969:0.000000
i:@0.724877:0.705631:0.727090:0.705631:0.727090:0.696030:0.724877:0.696030:0.000000
=1:@0.727090:0.705563:0.738344:0.705563:0.738344:0.695945:0.727090:0.695945:0.000000:0.000000
∑:@0.627477:0.512028:0.642856:0.512028:0.642856:0.486206:0.627477:0.486206:0.000000
n:@0.632911:0.492662:0.638370:0.492662:0.638370:0.483061:0.632911:0.483061:0.000000
i:@0.628913:0.517724:0.631126:0.517724:0.631126:0.508122:0.628913:0.508122:0.000000
=1:@0.631126:0.517656:0.642380:0.517656:0.642380:0.508038:0.631126:0.508038:0.000000:0.000000
∑:@0.581125:0.415058:0.596503:0.415058:0.596503:0.389235:0.581125:0.389235:0.000000
n:@0.586559:0.395692:0.592018:0.395692:0.592018:0.386091:0.586559:0.386091:0.000000
i:@0.582561:0.420753:0.584773:0.420753:0.584773:0.411152:0.582561:0.411152:0.000000
=1:@0.584773:0.420685:0.596028:0.420685:0.596028:0.411067:0.584773:0.411067:0.000000:0.000000
∑:@0.724919:0.415058:0.740298:0.415058:0.740298:0.389235:0.724919:0.389235:0.000000
n:@0.730353:0.395692:0.735812:0.395692:0.735812:0.386091:0.730353:0.386091:0.000000
i:@0.726355:0.420753:0.728568:0.420753:0.728568:0.411152:0.726355:0.411152:0.000000
=1:@0.728568:0.420685:0.739822:0.420685:0.739822:0.411067:0.728568:0.411067:0.000000:0.000000
    x:@0.601837:0.329535:0.625880:0.329535:0.625880:0.313067:0.601837:0.313067:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.625880:0.332696:0.628104:0.332696:0.628104:0.323078:0.625880:0.323078:0.000000
n:@0.610291:0.352167:0.619654:0.352167:0.619654:0.335698:0.610291:0.335698:0.000000
1:@0.455388:0.502263:0.463884:0.502263:0.463884:0.485766:0.455388:0.485766:0.000000
n:@0.441324:0.518718:0.450687:0.518718:0.450687:0.502249:0.441324:0.502249:0.000000
 – 1:@0.450687:0.518602:0.477967:0.518602:0.477967:0.502104:0.450687:0.502104:0.000000:0.000000:0.000000:0.000000
1:@0.593101:0.502263:0.601597:0.502263:0.601597:0.485766:0.593101:0.485766:0.000000
n:@0.579037:0.518718:0.588400:0.518718:0.588400:0.502249:0.579037:0.502249:0.000000
 – 1:@0.588400:0.518602:0.615680:0.518602:0.615680:0.502104:0.588400:0.502104:0.000000:0.000000:0.000000:0.000000
    x:@0.788950:0.398613:0.812993:0.398613:0.812993:0.382144:0.788950:0.382144:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.812993:0.401774:0.815217:0.401774:0.815217:0.392156:0.812993:0.392156:0.000000
n:@0.797402:0.421244:0.806764:0.421244:0.806764:0.404775:0.797402:0.404775:0.000000
    x:@0.694636:0.496370:0.718679:0.496370:0.718679:0.479902:0.694636:0.479902:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.718679:0.499533:0.720903:0.499533:0.720903:0.489915:0.718679:0.489915:0.000000
n:@0.703087:0.519002:0.712450:0.519002:0.712450:0.502533:0.703087:0.502533:0.000000
      x:@0.622240:0.589970:0.656378:0.589349:0.656378:0.572880:0.622240:0.573502:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(  –  )(  –  ):@0.642950:0.589233:0.738998:0.589226:0.738998:0.572728:0.642950:0.572735:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.656338:0.592570:0.658551:0.592570:0.658551:0.582969:0.656338:0.582969:0.000000
x y:@0.677335:0.589342:0.704402:0.589342:0.704402:0.572873:0.677335:0.572873:0.000000:0.000000:0.000000
i:@0.704362:0.592570:0.706575:0.592570:0.706575:0.582969:0.704362:0.582969:0.000000
y:@0.725359:0.589342:0.733046:0.589342:0.733046:0.572873:0.725359:0.572873:0.000000
n:@0.665656:0.612606:0.675019:0.612606:0.675019:0.596137:0.665656:0.596137:0.000000
 – 1:@0.675019:0.612490:0.702298:0.612490:0.702298:0.595993:0.675019:0.595993:0.000000:0.000000:0.000000:0.000000
       x:@0.528638:0.757623:0.566918:0.757001:0.566918:0.740532:0.528638:0.741154:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(  –  )(  –  ):@0.553490:0.756885:0.649537:0.756878:0.649537:0.740381:0.553490:0.740387:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.566879:0.760222:0.569091:0.760222:0.569091:0.750621:0.566879:0.750621:0.000000
x y:@0.587873:0.756994:0.614941:0.756994:0.614941:0.740525:0.587873:0.740525:0.000000:0.000000:0.000000
i:@0.614903:0.760222:0.617115:0.760222:0.617115:0.750621:0.614903:0.750621:0.000000
y:@0.635898:0.756994:0.643584:0.756994:0.643584:0.740525:0.635898:0.740525:0.000000
n:@0.572052:0.780258:0.581415:0.780258:0.581415:0.763790:0.572052:0.763790:0.000000
 – 1:@0.581415:0.780143:0.608695:0.780143:0.608695:0.763645:0.581415:0.763645:0.000000:0.000000:0.000000:0.000000
      x y:@0.679409:0.757623:0.725821:0.756994:0.725821:0.740525:0.679409:0.741154:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(:@0.700120:0.756885:0.706072:0.756885:0.706072:0.740387:0.700120:0.740387:0.000000
i i:@0.713507:0.760222:0.727071:0.760222:0.727071:0.750621:0.713507:0.750621:0.000000:0.000000:0.000000
 :@0.715720:0.760155:0.718135:0.760155:0.718135:0.750537:0.715720:0.750537:0.000000
 –   –   +  ):@0.727070:0.756878:0.838893:0.756878:0.838893:0.740381:0.727070:0.740381:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
xy:@0.745854:0.756994:0.761208:0.756994:0.761208:0.740525:0.745854:0.740525:0.000000:0.000000
i:@0.760245:0.760222:0.762457:0.760222:0.762457:0.750621:0.760245:0.750621:0.000000
yx xy:@0.781240:0.756994:0.832940:0.756994:0.832940:0.740525:0.781240:0.740525:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.787963:0.760222:0.790176:0.760222:0.790176:0.750621:0.787963:0.750621:0.000000
n:@0.741815:0.780258:0.751178:0.780258:0.751178:0.763790:0.741815:0.763790:0.000000
 – 1:@0.751178:0.780143:0.778458:0.780143:0.778458:0.763645:0.751178:0.763645:0.000000:0.000000:0.000000:0.000000
     x y:@0.530313:0.813785:0.570823:0.813156:0.570823:0.796688:0.530313:0.797316:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i  i:@0.558497:0.816317:0.573046:0.816317:0.573046:0.806699:0.558497:0.806699:0.000000:0.000000:0.000000:0.000000
 –        –        +      :@0.573045:0.813041:0.722542:0.813041:0.722542:0.796543:0.573045:0.796543:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
xy:@0.610612:0.813156:0.625967:0.813156:0.625967:0.796688:0.610612:0.796688:0.000000:0.000000
i:@0.625966:0.816317:0.628190:0.816317:0.628190:0.806699:0.625966:0.806699:0.000000
yx:@0.665758:0.813156:0.683703:0.813156:0.683703:0.796688:0.665758:0.796688:0.000000:0.000000
i:@0.673444:0.816317:0.675668:0.816317:0.675668:0.806699:0.673444:0.806699:0.000000
xy:@0.721579:0.813156:0.736933:0.813156:0.736933:0.796688:0.721579:0.796688:0.000000:0.000000
n:@0.618837:0.836421:0.628200:0.836421:0.628200:0.819952:0.618837:0.819952:0.000000
 – 1:@0.628200:0.836305:0.655479:0.836305:0.655479:0.819807:0.628200:0.819807:0.000000:0.000000:0.000000:0.000000
     x y:@0.530313:0.869403:0.570773:0.868774:0.570773:0.852305:0.530313:0.852934:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i i:@0.558459:0.872004:0.572946:0.872004:0.572946:0.862403:0.558459:0.862403:0.000000:0.000000:0.000000
 :@0.560671:0.871936:0.563086:0.871936:0.563086:0.862318:0.560671:0.862318:0.000000
 – :@0.572946:0.868659:0.591730:0.868659:0.591730:0.852161:0.572946:0.852161:0.000000:0.000000:0.000000
nxy:@0.591730:0.868774:0.617237:0.868774:0.617237:0.852305:0.591730:0.852305:0.000000:0.000000:0.000000
n:@0.557110:0.892039:0.566473:0.892039:0.566473:0.875570:0.557110:0.875570:0.000000
 – 1:@0.566473:0.891923:0.593753:0.891923:0.593753:0.875425:0.566473:0.875425:0.000000:0.000000:0.000000:0.000000
     x y:@0.647052:0.869403:0.687512:0.868774:0.687512:0.852305:0.647052:0.852934:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i i:@0.675198:0.872004:0.689685:0.872004:0.689685:0.862403:0.675198:0.862403:0.000000:0.000000:0.000000
 :@0.677410:0.871936:0.679825:0.871936:0.679825:0.862318:0.677410:0.862318:0.000000
 –                     :@0.689685:0.868659:0.795274:0.868659:0.795274:0.852161:0.689685:0.852161:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.752490:0.868774:0.759965:0.868774:0.759965:0.852305:0.752490:0.852305:0.000000
i:@0.759925:0.872004:0.762137:0.872004:0.762137:0.862403:0.759925:0.862403:0.000000
y:@0.795274:0.868774:0.802961:0.868774:0.802961:0.852305:0.795274:0.852305:0.000000
i:@0.802921:0.872004:0.805134:0.872004:0.805134:0.862403:0.802921:0.862403:0.000000
n:@0.711832:0.892034:0.721195:0.892034:0.721195:0.875566:0.711832:0.875566:0.000000
 – 1:@0.721195:0.891919:0.748474:0.891919:0.748474:0.875421:0.721195:0.875421:0.000000:0.000000:0.000000:0.000000
2:@0.822091:0.382123:0.827044:0.382123:0.827044:0.372505:0.822091:0.372505:0.000000
2:@0.727779:0.479881:0.732732:0.479881:0.732732:0.470263:0.727779:0.470263:0.000000
∑:@0.436902:0.685322:0.452280:0.685322:0.452280:0.659500:0.436902:0.659500:0.000000
n:@0.442336:0.665956:0.447795:0.665956:0.447795:0.656355:0.442336:0.656355:0.000000
i:@0.438338:0.691017:0.440550:0.691017:0.440550:0.681416:0.438338:0.681416:0.000000
=1:@0.440550:0.690950:0.451804:0.690950:0.451804:0.681332:0.440550:0.681332:0.000000:0.000000
∑:@0.663950:0.685322:0.679329:0.685322:0.679329:0.659500:0.663950:0.659500:0.000000
n:@0.669385:0.665956:0.674843:0.665956:0.674843:0.656355:0.669385:0.656355:0.000000
i:@0.665386:0.691017:0.667599:0.691017:0.667599:0.681416:0.665386:0.681416:0.000000
=1:@0.667599:0.690950:0.678853:0.690950:0.678853:0.681332:0.667599:0.681332:0.000000:0.000000
    x:@0.438408:0.684455:0.462451:0.684455:0.462451:0.667986:0.438408:0.667986:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.462412:0.687685:0.464625:0.687685:0.464625:0.678084:0.462412:0.678084:0.000000
n:@0.446834:0.707087:0.456197:0.707087:0.456197:0.690618:0.446834:0.690618:0.000000
    y:@0.665351:0.684455:0.689606:0.684455:0.689606:0.667986:0.665351:0.667986:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.689566:0.687685:0.691779:0.687685:0.691779:0.678084:0.689566:0.678084:0.000000
n:@0.673883:0.707087:0.683246:0.707087:0.683246:0.690618:0.673883:0.690618:0.000000
1:@0.711738:0.861049:0.720234:0.861049:0.720234:0.844552:0.711738:0.844552:0.000000
n:@0.711314:0.877504:0.720677:0.877504:0.720677:0.861035:0.711314:0.861035:0.000000
∑ ∑:@0.733995:0.870494:0.792930:0.870494:0.792930:0.844671:0.733995:0.844671:0.000000:0.000000:0.000000
n:@0.739430:0.851127:0.744888:0.851127:0.744888:0.841525:0.739430:0.841525:0.000000
i:@0.735431:0.876188:0.737644:0.876188:0.737644:0.866586:0.735431:0.866586:0.000000
=1:@0.737644:0.876120:0.748898:0.876120:0.748898:0.866502:0.737644:0.866502:0.000000:0.000000
n:@0.782986:0.851127:0.788445:0.851127:0.788445:0.841525:0.782986:0.841525:0.000000
i:@0.778988:0.876188:0.781200:0.876188:0.781200:0.866586:0.778988:0.866586:0.000000
=1:@0.781200:0.876120:0.792454:0.876120:0.792454:0.866502:0.781200:0.866502:0.000000:0.000000
Saberes previos:@0.199646:0.115710:0.307805:0.115710:0.307805:0.100238:0.199646:0.100238:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Cómo obtienes la me-:@0.199884:0.144338:0.349872:0.144338:0.349872:0.129274:0.199884:0.129274:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dia aritmética de un conjunto :@0.153341:0.160180:0.350560:0.160180:0.350560:0.145116:0.153341:0.145116:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de datos?:@0.153341:0.176022:0.214359:0.176022:0.214359:0.160958:0.153341:0.160958:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Desequilibrio cognitivo:@0.199646:0.223173:0.363493:0.223173:0.363493:0.207700:0.199646:0.207700:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Qué relación puede :@0.199884:0.251800:0.337702:0.251800:0.337702:0.236737:0.199884:0.236737:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
existir entre la dispersión y la :@0.153341:0.267642:0.341833:0.267642:0.341833:0.252579:0.153341:0.252579:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
media aritmética?:@0.153341:0.283484:0.268256:0.283484:0.268256:0.268421:0.153341:0.268421:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Recuerda que…:@0.199644:0.487695:0.309404:0.487695:0.309404:0.472223:0.199644:0.472223:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La covarianza es, de :@0.199880:0.516324:0.330572:0.516324:0.330572:0.501261:0.199880:0.501261:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
modo intuitivo, una especie :@0.153337:0.532166:0.337804:0.532166:0.337804:0.517103:0.153337:0.517103:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de medida promedio de la :@0.153337:0.548008:0.329850:0.548008:0.329850:0.532945:0.153337:0.532945:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dependencia lineal. En algunos :@0.153337:0.563850:0.355075:0.563850:0.355075:0.548787:0.153337:0.548787:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
libros, a la covarianza muestral :@0.153337:0.579692:0.353089:0.579692:0.353089:0.564629:0.153337:0.564629:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
también se le suele designar :@0.153337:0.595534:0.337820:0.595534:0.337820:0.580471:0.153337:0.580471:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
con  .:@0.153337:0.611376:0.199617:0.611375:0.199617:0.596311:0.153337:0.596313:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.181727:0.611481:0.188922:0.611481:0.188922:0.596445:0.181727:0.596445:0.000000
xy:@0.188928:0.614429:0.197101:0.614429:0.197101:0.605663:0.188928:0.605663:0.000000:0.000000
Glosario:@0.199644:0.717738:0.267109:0.717738:0.267109:0.700055:0.199644:0.700055:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
covarianza: :@0.199880:0.744551:0.278770:0.744551:0.278770:0.729290:0.199880:0.729290:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
en probabi-:@0.278770:0.744353:0.354374:0.744353:0.354374:0.729290:0.278770:0.729290:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
lidad y estadística, la covarianza :@0.153337:0.760195:0.360722:0.760195:0.360722:0.745132:0.153337:0.745132:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
es un valor que indica el grado :@0.153337:0.776037:0.354792:0.776037:0.354792:0.760974:0.153337:0.760974:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de variación conjunta de dos :@0.153337:0.791879:0.345206:0.791879:0.345206:0.776816:0.153337:0.776816:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
variables aleatorias respecto a :@0.153337:0.807721:0.348039:0.807721:0.348039:0.792658:0.153337:0.792658:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
sus medias.:@0.153337:0.823563:0.226387:0.823563:0.226387:0.808500:0.153337:0.808500:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a:@0.146908:0.721470:0.158313:0.719960:0.153110:0.697815:0.141706:0.699325:0.000000
c:@0.150290:0.732439:0.160889:0.731036:0.155807:0.709401:0.145207:0.710804:0.000000
b:@0.160665:0.725221:0.173379:0.723538:0.168247:0.701696:0.155534:0.703378:0.000000