275:@0.937671:0.974518:0.968375:0.974518:0.968375:0.956333:0.937671:0.956333:0.000000:0.000000:0.000000
Pensamiento aleatorio y numérico:@0.621850:0.043661:0.926913:0.043661:0.926913:0.024916:0.621850:0.024916:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3.  En cada ítem, completa la tabla. Con estos datos, :@0.073089:0.136836:0.489391:0.136836:0.489391:0.120167:0.073089:0.120167:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
calcula las constantes  ,   y obtén nuevamente la :@0.103214:0.153478:0.489701:0.153478:0.489701:0.136808:0.103214:0.136808:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a b:@0.272524:0.153395:0.301881:0.153395:0.301881:0.136711:0.272524:0.136711:0.000000:0.000000:0.000000
función f que en cada caso se define. Calcula el :@0.103215:0.170120:0.489698:0.170120:0.489698:0.153450:0.103215:0.153450:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
coeficiente de correlación y comprueba con el dato :@0.103215:0.186762:0.489565:0.186762:0.489565:0.170092:0.103215:0.170092:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
r que se indica. En el plano cartesiano, representa el :@0.103215:0.203404:0.489874:0.203404:0.489874:0.186734:0.103215:0.186734:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
conjunto de puntos y la función f.:@0.103215:0.220045:0.356287:0.220045:0.356287:0.203376:0.103215:0.203376:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a. :@0.104633:0.250983:0.122285:0.250983:0.122285:0.234549:0.104633:0.234549:0.000000:0.000000:0.000000
y f x:@0.133730:0.250983:0.178901:0.250983:0.178901:0.234577:0.133730:0.234577:0.000000:0.000000:0.000000:0.000000:0.000000
= ( )=:@0.142234:0.251565:0.202407:0.251565:0.202407:0.233911:0.142234:0.233911:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3,2 4,5x,      x:@0.203420:0.250983:0.322036:0.250983:0.322036:0.234577:0.203420:0.234577:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
+:@0.226871:0.251565:0.242204:0.251565:0.242204:0.233911:0.226871:0.233911:0.000000
∀ >:@0.301291:0.251565:0.338400:0.251565:0.338400:0.233911:0.301291:0.233911:0.000000:0.000000:0.000000
0,   :@0.338308:0.250983:0.362293:0.250983:0.362293:0.234549:0.338308:0.234549:0.000000:0.000000:0.000000:0.000000:0.000000
r:@0.362182:0.250983:0.367465:0.250983:0.367465:0.234577:0.362182:0.234577:0.000000
=:@0.367392:0.251565:0.382725:0.251565:0.382725:0.233911:0.367392:0.233911:0.000000
1.:@0.382633:0.250983:0.394745:0.250983:0.394745:0.234549:0.382633:0.234549:0.000000:0.000000
x:@0.166874:0.281711:0.174623:0.281711:0.174623:0.265786:0.166874:0.265786:0.000000
0,5:@0.221220:0.282188:0.238878:0.282188:0.238878:0.267070:0.221220:0.267070:0.000000:0.000000:0.000000
1,0:@0.268661:0.282188:0.286319:0.282188:0.286319:0.267070:0.268661:0.267070:0.000000:0.000000:0.000000
2,1:@0.316101:0.282188:0.333759:0.282188:0.333759:0.267070:0.316101:0.267070:0.000000:0.000000:0.000000
2,6:@0.363542:0.282188:0.381200:0.282188:0.381200:0.267070:0.363542:0.267070:0.000000:0.000000:0.000000
3,0:@0.410982:0.282188:0.428641:0.282188:0.428641:0.267070:0.410982:0.267070:0.000000:0.000000:0.000000
y = f(x)::@0.146668:0.306333:0.194882:0.306333:0.194882:0.290408:0.146668:0.290408:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b. :@0.104633:0.347853:0.123739:0.347853:0.123739:0.331420:0.104633:0.331420:0.000000:0.000000:0.000000
y f x:@0.133730:0.347853:0.178901:0.347853:0.178901:0.331447:0.133730:0.331447:0.000000:0.000000:0.000000:0.000000:0.000000
= ( )=:@0.142234:0.348436:0.202407:0.348436:0.202407:0.330782:0.142234:0.330782:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2,8 1,65:@0.203420:0.347853:0.277251:0.347853:0.277251:0.331420:0.203420:0.331420:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
+:@0.227662:0.348436:0.242995:0.348436:0.242995:0.330782:0.227662:0.330782:0.000000
x,      x:@0.278245:0.347853:0.333614:0.347853:0.333614:0.331447:0.278245:0.331447:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∀ >:@0.312869:0.348436:0.349978:0.348436:0.349978:0.330782:0.312869:0.330782:0.000000:0.000000:0.000000
0,   :@0.349886:0.347853:0.373871:0.347853:0.373871:0.331420:0.349886:0.331420:0.000000:0.000000:0.000000:0.000000:0.000000
r:@0.373760:0.347853:0.379043:0.347853:0.379043:0.331447:0.373760:0.331447:0.000000
=:@0.378970:0.348436:0.394303:0.348436:0.394303:0.330782:0.378970:0.330782:0.000000
1.:@0.394211:0.347853:0.406323:0.347853:0.406323:0.331420:0.394211:0.331420:0.000000:0.000000
x:@0.166874:0.378582:0.174623:0.378582:0.174623:0.362656:0.166874:0.362656:0.000000
1,5:@0.217179:0.379058:0.234837:0.379058:0.234837:0.363941:0.217179:0.363941:0.000000:0.000000:0.000000
3,0:@0.256554:0.379058:0.274213:0.379058:0.274213:0.363941:0.256554:0.363941:0.000000:0.000000:0.000000
4,1:@0.295930:0.379058:0.313588:0.379058:0.313588:0.363941:0.295930:0.363941:0.000000:0.000000:0.000000
4,6:@0.335306:0.379058:0.352964:0.379058:0.352964:0.363941:0.335306:0.363941:0.000000:0.000000:0.000000
5,0:@0.374681:0.379058:0.392340:0.379058:0.392340:0.363941:0.374681:0.363941:0.000000:0.000000:0.000000
5,2:@0.414057:0.379058:0.431715:0.379058:0.431715:0.363941:0.414057:0.363941:0.000000:0.000000:0.000000
y = f(x)::@0.146668:0.403204:0.194882:0.403204:0.194882:0.387279:0.146668:0.387279:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
c. :@0.104633:0.444346:0.121917:0.444346:0.121917:0.427912:0.104633:0.427912:0.000000:0.000000:0.000000
y f x:@0.133730:0.444346:0.178901:0.444346:0.178901:0.427940:0.133730:0.427940:0.000000:0.000000:0.000000:0.000000:0.000000
= ( )=:@0.142234:0.444928:0.202407:0.444928:0.202407:0.427274:0.142234:0.427274:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
70,3 3,45:@0.203420:0.444346:0.287246:0.444346:0.287246:0.427912:0.203420:0.427912:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
+:@0.237657:0.444928:0.252990:0.444928:0.252990:0.427274:0.237657:0.427274:0.000000
x,      x:@0.288240:0.444346:0.343609:0.444346:0.343609:0.427940:0.288240:0.427940:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∀ >:@0.322864:0.444928:0.359973:0.444928:0.359973:0.427274:0.322864:0.427274:0.000000:0.000000:0.000000
0,   :@0.359881:0.444346:0.383866:0.444346:0.383866:0.427912:0.359881:0.427912:0.000000:0.000000:0.000000:0.000000:0.000000
r:@0.383756:0.444346:0.389038:0.444346:0.389038:0.427940:0.383756:0.427940:0.000000
=:@0.388965:0.444928:0.404298:0.444928:0.404298:0.427274:0.388965:0.427274:0.000000
1.:@0.404206:0.444346:0.416318:0.444346:0.416318:0.427912:0.404206:0.427912:0.000000:0.000000
x:@0.166874:0.475074:0.174623:0.475074:0.174623:0.459149:0.166874:0.459149:0.000000
2,5:@0.217179:0.475550:0.234837:0.475550:0.234837:0.460433:0.217179:0.460433:0.000000:0.000000:0.000000
6,0:@0.256554:0.475550:0.274213:0.475550:0.274213:0.460433:0.256554:0.460433:0.000000:0.000000:0.000000
10,4 16,0 20,6 28,0:@0.292135:0.475550:0.435493:0.475550:0.435493:0.460433:0.292135:0.460433:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y = f(x)::@0.146651:0.499696:0.194864:0.499696:0.194864:0.483771:0.146651:0.483771:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
4.  En una muestra de 1500 individuos se recogen :@0.073089:0.541909:0.489928:0.541909:0.489928:0.525239:0.073089:0.525239:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos sobre dos medidas X e Y. Los resultados que :@0.103214:0.558550:0.489895:0.558550:0.489895:0.541881:0.103214:0.541881:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
se obtienen son: :@0.103210:0.575192:0.231527:0.575192:0.231527:0.558523:0.103210:0.558523:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.253815:0.575192:0.257717:0.575192:0.257717:0.558523:0.253815:0.558523:0.000000
x:@0.103207:0.591834:0.111325:0.591834:0.111325:0.575151:0.103207:0.575151:0.000000
=:@0.111251:0.592417:0.126584:0.592417:0.126584:0.574762:0.111251:0.574762:0.000000
14, :@0.126492:0.591834:0.152870:0.591834:0.152870:0.575164:0.126492:0.575164:0.000000:0.000000:0.000000:0.000000
y:@0.152778:0.591834:0.160895:0.591834:0.160895:0.575151:0.152778:0.575151:0.000000
=:@0.160822:0.592417:0.176155:0.592417:0.176155:0.574762:0.160822:0.574762:0.000000
100, :@0.176063:0.591834:0.211810:0.591834:0.211810:0.575164:0.176063:0.575164:0.000000:0.000000:0.000000:0.000000:0.000000
s:@0.211718:0.591834:0.218584:0.591834:0.218584:0.575151:0.211718:0.575151:0.000000
x:@0.218530:0.595006:0.223499:0.595006:0.223499:0.585288:0.218530:0.585288:0.000000
=:@0.223453:0.592417:0.238786:0.592417:0.238786:0.574762:0.223453:0.574762:0.000000
1, :@0.238694:0.591834:0.255703:0.591834:0.255703:0.575164:0.238694:0.575164:0.000000:0.000000:0.000000
s:@0.255611:0.591834:0.262477:0.591834:0.262477:0.575151:0.255611:0.575151:0.000000
y:@0.262415:0.595006:0.267469:0.595006:0.267469:0.585288:0.262415:0.585288:0.000000
=:@0.267423:0.592417:0.282756:0.592417:0.282756:0.574762:0.267423:0.574762:0.000000
25, s:@0.282664:0.591834:0.316258:0.591834:0.316258:0.575164:0.282664:0.575164:0.000000:0.000000:0.000000:0.000000:0.000000
xy:@0.316162:0.595006:0.326303:0.595006:0.326303:0.585288:0.316162:0.585288:0.000000:0.000000
=:@0.326256:0.592417:0.341589:0.592417:0.341589:0.574762:0.326256:0.574762:0.000000
45:@0.341497:0.591834:0.360309:0.591834:0.360309:0.575164:0.341497:0.575164:0.000000:0.000000
a.  Obtén el modelo de regresión lineal que mejor :@0.104633:0.624916:0.489770:0.624916:0.489770:0.608482:0.104633:0.608482:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
aproxima   en función de  .:@0.134760:0.641558:0.336485:0.641558:0.336485:0.625124:0.134760:0.625124:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Y:@0.206641:0.641558:0.215550:0.641558:0.215550:0.625152:0.206641:0.625152:0.000000
X:@0.324300:0.641558:0.333356:0.641558:0.333356:0.625152:0.324300:0.625152:0.000000
b.  Utilizando este modelo, calcula la cantidad   :@0.104633:0.799815:0.489799:0.799815:0.489799:0.783382:0.104633:0.783382:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Y:@0.476859:0.799815:0.485768:0.799815:0.485768:0.783409:0.476859:0.783409:0.000000
esperada cuando :@0.134760:0.816457:0.264771:0.816457:0.264771:0.800023:0.134760:0.800023:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.264587:0.816457:0.273643:0.816457:0.273643:0.800051:0.264587:0.800051:0.000000
=:@0.273569:0.817040:0.288903:0.817040:0.288903:0.799385:0.273569:0.799385:0.000000
15.:@0.288811:0.816457:0.309832:0.816457:0.309832:0.800023:0.288811:0.800023:0.000000:0.000000:0.000000
5.  De una muestra de 8 observaciones conjuntas de :@0.514231:0.136836:0.930989:0.136836:0.930989:0.120167:0.514231:0.120167:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
valores de dos variables   e   se obtiene la siguiente :@0.544355:0.153478:0.930832:0.153478:0.930832:0.136808:0.544355:0.136808:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X Y:@0.723255:0.153478:0.757585:0.153478:0.757585:0.136795:0.723255:0.136795:0.000000:0.000000:0.000000
información::@0.544318:0.170120:0.640268:0.170120:0.640268:0.153450:0.544318:0.153450:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Σ:@0.629157:0.198064:0.641435:0.198064:0.641435:0.180410:0.629157:0.180410:0.000000
x=24,  x y=64,  y=40,:@0.641343:0.197482:0.811965:0.197483:0.811965:0.181049:0.641343:0.181048:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.649201:0.200655:0.651444:0.200655:0.651444:0.191074:0.649201:0.191074:0.000000
Σ:@0.687162:0.198066:0.699440:0.198066:0.699440:0.180411:0.687162:0.180411:0.000000
i  i:@0.707166:0.200655:0.721925:0.200655:0.721925:0.191074:0.707166:0.191074:0.000000:0.000000:0.000000:0.000000
Σ:@0.757643:0.198066:0.769921:0.198066:0.769921:0.180411:0.757643:0.180411:0.000000
i:@0.777850:0.200655:0.780092:0.200655:0.780092:0.191074:0.777850:0.191074:0.000000
s =12, s =6:@0.676156:0.224845:0.764990:0.224846:0.764990:0.208412:0.676156:0.208411:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.682945:0.228019:0.687667:0.228019:0.687667:0.218438:0.682945:0.218438:0.000000
2:@0.687624:0.218785:0.692861:0.218785:0.692861:0.209204:0.687624:0.209204:0.000000
x:@0.735362:0.228019:0.739966:0.228019:0.739966:0.218438:0.735362:0.218438:0.000000
2:@0.739923:0.218785:0.745160:0.218785:0.745160:0.209204:0.739923:0.209204:0.000000
a.  Obtén la recta de regresión de   sobre  .:@0.545774:0.252210:0.869332:0.252210:0.869332:0.235776:0.545774:0.235776:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Y:@0.799845:0.252210:0.808754:0.252210:0.808754:0.235803:0.799845:0.235803:0.000000
X:@0.857146:0.252210:0.866203:0.252210:0.866203:0.235803:0.857146:0.235803:0.000000
b.  Calcula el coeficiente de correlación elevado al :@0.545774:0.410467:0.931016:0.410467:0.931016:0.394033:0.545774:0.394033:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cuadrado.:@0.575902:0.427109:0.648125:0.427109:0.648125:0.410675:0.575902:0.410675:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
c.  Si el modelo es adecuado, ¿cuál es la predicción :@0.545774:0.585368:0.931134:0.585368:0.931134:0.568934:0.545774:0.568934:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
para un valor de :@0.575902:0.602010:0.697537:0.602010:0.697537:0.585576:0.575902:0.585576:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.697353:0.602010:0.704808:0.602010:0.704808:0.585603:0.697353:0.585603:0.000000
=:@0.704734:0.602592:0.720068:0.602592:0.720068:0.584938:0.704734:0.584938:0.000000
4?:@0.719975:0.602010:0.735898:0.602010:0.735898:0.585576:0.719975:0.585576:0.000000:0.000000
d.  Obtén la recta de regresión de   sobre  .:@0.545774:0.760267:0.869332:0.760267:0.869332:0.743833:0.545774:0.743833:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.799845:0.760267:0.808901:0.760267:0.808901:0.743861:0.799845:0.743861:0.000000
Y:@0.857294:0.760267:0.866203:0.760267:0.866203:0.743861:0.857294:0.743861:0.000000
y = 11,25x – 57,50:@0.138661:0.722199:0.245485:0.722199:0.245485:0.708753:0.138661:0.708753:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y = 111,25:@0.138661:0.896121:0.200228:0.896121:0.200228:0.882675:0.138661:0.882675:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y = –1,167x + 8,5:@0.584978:0.334448:0.686079:0.334448:0.686079:0.321002:0.584978:0.321002:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
r2 = 0,68:@0.584978:0.510957:0.633970:0.510957:0.633970:0.497511:0.584978:0.497511:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y = 3,83:@0.584978:0.684675:0.631847:0.684675:0.631847:0.671229:0.584978:0.671229:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x = –0,583y + 5,915:@0.584978:0.844426:0.700778:0.844426:0.700778:0.830980:0.584978:0.830980:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
MUESTRA EDITORIAL:@0.248902:0.947499:0.888171:0.113285:0.743922:0.050540:0.104653:0.884754:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 Muestra editorial solo para fines didácticos – Prohibida su venta:@0.095585:0.659700:0.095585:0.341447:0.077558:0.341447:0.077558:0.659700:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000