276:@0.031627:0.974518:0.062330:0.974518:0.062330:0.956333:0.031627:0.956333:0.000000:0.000000:0.000000
Estadística y probabilidad:@0.073089:0.043661:0.304536:0.043661:0.304536:0.024916:0.073089:0.024916:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
6.  La tabla siguiente contiene la edad X y la máxima :@0.073089:0.136836:0.489687:0.136836:0.489687:0.120167:0.073089:0.120167:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
presión sanguínea Y de un grupo de 10 mujeres::@0.103214:0.153478:0.467807:0.153478:0.467807:0.136808:0.103214:0.136808:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.161955:0.181691:0.168983:0.181691:0.168983:0.166739:0.161955:0.166739:0.000000
y:@0.235533:0.181691:0.242796:0.181691:0.242796:0.166739:0.235533:0.166739:0.000000
56:@0.158236:0.201002:0.172700:0.201002:0.172700:0.186892:0.158236:0.186892:0.000000:0.000000
14,8:@0.227514:0.200757:0.250820:0.200757:0.250820:0.187079:0.227514:0.187079:0.000000:0.000000:0.000000:0.000000
42:@0.158457:0.221082:0.172478:0.221082:0.172478:0.207405:0.158457:0.207405:0.000000:0.000000
12,6:@0.227514:0.221082:0.250820:0.221082:0.250820:0.207405:0.227514:0.207405:0.000000:0.000000:0.000000:0.000000
72:@0.158457:0.241407:0.172478:0.241407:0.172478:0.227730:0.158457:0.227730:0.000000:0.000000
15,9:@0.227514:0.241407:0.250820:0.241407:0.250820:0.227730:0.227514:0.227730:0.000000:0.000000:0.000000:0.000000
36:@0.158457:0.261816:0.172478:0.261816:0.172478:0.248139:0.158457:0.248139:0.000000:0.000000
11,8:@0.227514:0.261816:0.250820:0.261816:0.250820:0.248139:0.227514:0.248139:0.000000:0.000000:0.000000:0.000000
63:@0.158457:0.282728:0.172478:0.282728:0.172478:0.269051:0.158457:0.269051:0.000000:0.000000
14,9:@0.227514:0.282728:0.250820:0.282728:0.250820:0.269051:0.227514:0.269051:0.000000:0.000000:0.000000:0.000000
x:@0.315550:0.181515:0.322578:0.181515:0.322578:0.166562:0.315550:0.166562:0.000000
y:@0.389129:0.181515:0.396391:0.181515:0.396391:0.166562:0.389129:0.166562:0.000000
47:@0.312054:0.200777:0.326075:0.200777:0.326075:0.187100:0.312054:0.187100:0.000000:0.000000
13,0:@0.381111:0.200777:0.404417:0.200777:0.404417:0.187100:0.381111:0.187100:0.000000:0.000000:0.000000:0.000000
55:@0.312054:0.221198:0.326075:0.221198:0.326075:0.207521:0.312054:0.207521:0.000000:0.000000
15,1:@0.381111:0.221198:0.404417:0.221198:0.404417:0.207521:0.381111:0.207521:0.000000:0.000000:0.000000:0.000000
49:@0.312054:0.241619:0.326075:0.241619:0.326075:0.227941:0.312054:0.227941:0.000000:0.000000
14,2:@0.381111:0.241619:0.404417:0.241619:0.404417:0.227941:0.381111:0.227941:0.000000:0.000000:0.000000:0.000000
38:@0.312054:0.262040:0.326075:0.262040:0.326075:0.248362:0.312054:0.248362:0.000000:0.000000
11,4:@0.381111:0.262040:0.404417:0.262040:0.404417:0.248362:0.381111:0.248362:0.000000:0.000000:0.000000:0.000000
42:@0.312054:0.282461:0.326075:0.282461:0.326075:0.268783:0.312054:0.268783:0.000000:0.000000
14,1:@0.381111:0.282461:0.404417:0.282461:0.404417:0.268783:0.381111:0.268783:0.000000:0.000000:0.000000:0.000000
a.  Calcula el coeficiente de correlación lineal entre :@0.104633:0.315416:0.489787:0.315416:0.489787:0.298982:0.104633:0.298982:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
las variables.:@0.134760:0.332058:0.224242:0.332058:0.224242:0.315624:0.134760:0.315624:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b.  Determina la recta de regresión de Y sobre X.:@0.104633:0.463513:0.459797:0.463513:0.459797:0.447079:0.104633:0.447079:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
c.  Realiza la siguiente predicción: Presión sanguínea :@0.104633:0.594968:0.489568:0.594968:0.489568:0.578534:0.104633:0.578534:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de una mujer de 51 años.:@0.134760:0.611610:0.318089:0.611610:0.318089:0.595176:0.134760:0.595176:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7.  De la siguiente distribución::@0.073089:0.743065:0.314364:0.743065:0.314364:0.726396:0.073089:0.726396:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.225547:0.773267:0.236035:0.773267:0.236035:0.756071:0.225547:0.756071:0.000000
Y:@0.320669:0.773267:0.331311:0.773267:0.331311:0.756071:0.320669:0.756071:0.000000
530:@0.220275:0.791826:0.241307:0.791826:0.241307:0.778148:0.220275:0.778148:0.000000:0.000000:0.000000
207:@0.315484:0.791826:0.336516:0.791826:0.336516:0.778148:0.315484:0.778148:0.000000:0.000000:0.000000
530:@0.220275:0.811744:0.241307:0.811744:0.241307:0.798066:0.220275:0.798066:0.000000:0.000000:0.000000
209:@0.315484:0.811744:0.336516:0.811744:0.336516:0.798066:0.315484:0.798066:0.000000:0.000000:0.000000
540:@0.220275:0.831662:0.241307:0.831662:0.241307:0.817984:0.220275:0.817984:0.000000:0.000000:0.000000
214:@0.315484:0.831662:0.336516:0.831662:0.336516:0.817984:0.315484:0.817984:0.000000:0.000000:0.000000
560:@0.220275:0.851580:0.241307:0.851580:0.241307:0.837902:0.220275:0.837902:0.000000:0.000000:0.000000
223:@0.315484:0.851580:0.336516:0.851580:0.336516:0.837902:0.315484:0.837902:0.000000:0.000000:0.000000
590:@0.220275:0.871498:0.241307:0.871498:0.241307:0.857820:0.220275:0.857820:0.000000:0.000000:0.000000
236:@0.315484:0.871498:0.336516:0.871498:0.336516:0.857820:0.315484:0.857820:0.000000:0.000000:0.000000
590:@0.220275:0.891415:0.241307:0.891415:0.241307:0.877738:0.220275:0.877738:0.000000:0.000000:0.000000
239:@0.315484:0.891415:0.336516:0.891415:0.336516:0.877738:0.315484:0.877738:0.000000:0.000000:0.000000
630:@0.220275:0.911333:0.241307:0.911333:0.241307:0.897655:0.220275:0.897655:0.000000:0.000000:0.000000
241:@0.315484:0.911333:0.336516:0.911333:0.336516:0.897655:0.315484:0.897655:0.000000:0.000000:0.000000
640:@0.220275:0.931251:0.241307:0.931251:0.241307:0.917573:0.220275:0.917573:0.000000:0.000000:0.000000
253:@0.315484:0.931251:0.336516:0.931251:0.336516:0.917573:0.315484:0.917573:0.000000:0.000000:0.000000
a.  a) :@0.545774:0.136836:0.593094:0.136836:0.593094:0.120402:0.545774:0.120402:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Halla la covarianza.:@0.634713:0.136836:0.770938:0.136836:0.770938:0.120402:0.634713:0.120402:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b.  b) :@0.545774:0.268292:0.594880:0.268292:0.594880:0.251858:0.545774:0.251858:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Determina la ecuación de la recta de  :@0.634713:0.268292:0.930943:0.268292:0.930943:0.251858:0.634713:0.251858:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
regresión lineal.:@0.575904:0.284933:0.689081:0.284933:0.689081:0.268500:0.575904:0.268500:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
8.  Sean S el conjunto de puntos  :@0.514231:0.416388:0.772764:0.416388:0.772764:0.399718:0.514231:0.399718:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.815441:0.416388:0.819343:0.416388:0.819343:0.399718:0.815441:0.399718:0.000000
S:@0.544357:0.433029:0.552935:0.433029:0.552935:0.416346:0.544357:0.416346:0.000000
={(:@0.552787:0.433612:0.579975:0.433612:0.579975:0.415958:0.552787:0.415958:0.000000:0.000000:0.000000
x y:@0.579791:0.433029:0.608556:0.433029:0.608556:0.416346:0.579791:0.416346:0.000000:0.000000:0.000000
i:@0.587771:0.436202:0.590282:0.436202:0.590282:0.426483:0.587771:0.426483:0.000000
 , :@0.590186:0.433029:0.601028:0.433029:0.601028:0.416360:0.590186:0.416360:0.000000:0.000000:0.000000
i:@0.608411:0.436202:0.610922:0.436202:0.610922:0.426483:0.608411:0.426483:0.000000
) ∊ ℝ =:@0.610825:0.433612:0.687296:0.433612:0.687296:0.415958:0.610825:0.415958:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2:@0.652779:0.426965:0.658016:0.426965:0.658016:0.417385:0.652779:0.417385:0.000000
 |:@0.657918:0.433029:0.665226:0.433029:0.665226:0.416596:0.657918:0.416596:0.000000:0.000000
 i 1:@0.665060:0.433029:0.696150:0.433029:0.696150:0.416346:0.665060:0.416346:0.000000:0.000000:0.000000:0.000000
, …,  , y la ecuación cartesiana :@0.696003:0.433029:0.930750:0.433029:0.930750:0.416360:0.696003:0.416360:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.728142:0.433029:0.737971:0.433029:0.737971:0.416346:0.728142:0.416346:0.000000
}:@0.737824:0.433612:0.743953:0.433612:0.743953:0.415958:0.737824:0.415958:0.000000
de la recta de regresión lineal definida como  :@0.544327:0.449671:0.930787:0.449671:0.930787:0.433002:0.544327:0.433002:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(:@0.544327:0.466895:0.550456:0.466895:0.550456:0.449241:0.544327:0.449241:0.000000
x, y  :@0.550953:0.466313:0.590584:0.466313:0.590584:0.449643:0.550953:0.449643:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
) ∊  ℝ:@0.580055:0.466895:0.630186:0.466895:0.630186:0.449241:0.580055:0.449241:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2:@0.631201:0.460249:0.636437:0.460249:0.636437:0.450668:0.631201:0.450668:0.000000
, tal que :@0.636693:0.466313:0.710064:0.466313:0.710064:0.449643:0.636693:0.449643:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y a bx:@0.712972:0.466313:0.785569:0.466313:0.785569:0.449630:0.712972:0.449630:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
= +:@0.721458:0.466895:0.764710:0.466895:0.764710:0.449241:0.721458:0.449241:0.000000:0.000000:0.000000
, donde  ,   son :@0.785937:0.466313:0.930817:0.466313:0.930817:0.449643:0.785937:0.449643:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a b:@0.856234:0.466230:0.889053:0.466230:0.889053:0.449546:0.856234:0.449546:0.000000:0.000000:0.000000
calculados con el método de mínimos cuadrados. :@0.544357:0.482955:0.931001:0.482955:0.931001:0.466285:0.544357:0.466285:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Demuestren que: :@0.544357:0.502273:0.679514:0.502273:0.679514:0.485604:0.544357:0.485604:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a y bx y x:@0.679374:0.502190:0.791362:0.502268:0.791362:0.485585:0.679374:0.485507:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
= –:@0.690942:0.502851:0.725640:0.502851:0.725640:0.485196:0.690942:0.485196:0.000000:0.000000:0.000000
= –:@0.747534:0.502851:0.782232:0.502851:0.782232:0.485196:0.747534:0.485196:0.000000:0.000000:0.000000
cov(x, y):@0.797068:0.496760:0.859169:0.496760:0.859169:0.479318:0.797068:0.479318:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
s:@0.819180:0.513143:0.826358:0.513143:0.826358:0.495702:0.819180:0.495702:0.000000
x:@0.826354:0.516467:0.831302:0.516467:0.831302:0.506298:0.826354:0.506298:0.000000
2:@0.831302:0.506814:0.837057:0.506814:0.837057:0.496654:0.831302:0.496654:0.000000
.:@0.864849:0.502268:0.868659:0.502268:0.868659:0.485599:0.864849:0.485599:0.000000
Demostración:@0.685330:0.727877:0.760873:0.727877:0.760873:0.715925:0.685330:0.715925:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
r = 0,89:@0.141869:0.374472:0.186553:0.374472:0.186553:0.361026:0.141869:0.361026:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y = 0,12x + 7,78:@0.141869:0.506706:0.235440:0.506706:0.235440:0.493260:0.141869:0.493260:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y = 13,90:@0.141869:0.654656:0.196087:0.654656:0.196087:0.641210:0.141869:0.641210:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S  = 624,1:@0.583487:0.202217:0.645808:0.202216:0.645808:0.188770:0.583487:0.188771:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
xy:@0.590482:0.204811:0.598218:0.204811:0.598218:0.196973:0.590482:0.196973:0.000000:0.000000
r = 0,379x + 9,351:@0.583487:0.350529:0.689573:0.350529:0.689573:0.337083:0.583487:0.337083:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
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