162:@0.054582:0.966558:0.078778:0.966558:0.078778:0.950778:0.054582:0.950778:0.000000:0.000000:0.000000
Regresión lineal simple. Método de mínimos cuadrados:@0.404236:0.097328:0.847374:0.097328:0.847374:0.079645:0.404236:0.079645:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
En el análisis de la regresión lineal simple, a las dos variables involucra-:@0.404236:0.114035:0.891678:0.114035:0.891678:0.097538:0.404236:0.097538:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
das las asignamos con “ ” y “ ”. A la variable   se le denomina variable :@0.404236:0.131386:0.895999:0.131386:0.895999:0.114888:0.404236:0.114888:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.569590:0.131502:0.577065:0.131502:0.577065:0.115033:0.569590:0.115033:0.000000
y:@0.604460:0.131502:0.612147:0.131502:0.612147:0.115033:0.604460:0.115033:0.000000
x:@0.713694:0.131502:0.721169:0.131502:0.721169:0.115033:0.713694:0.115033:0.000000
independiente, mientras que a la variable   se la llama variable depen-:@0.404236:0.148737:0.891678:0.148737:0.891678:0.132239:0.404236:0.132239:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.696082:0.148852:0.703769:0.148852:0.703769:0.132384:0.696082:0.132384:0.000000
diente. El análisis de la regresión se utiliza, por ejemplo, para construir :@0.404236:0.166088:0.895922:0.166088:0.895922:0.149590:0.404236:0.149590:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
una función dependiente de una o más constantes por determinar, :@0.404236:0.183438:0.895938:0.183438:0.895938:0.166941:0.404236:0.166941:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a la que denominamos modelo matemático de predicción, en cuyo :@0.404236:0.200789:0.895912:0.200789:0.895912:0.184291:0.404236:0.184291:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
caso   se denomina variable de predicción, mientras que   se llama :@0.404236:0.218140:0.895905:0.218140:0.895905:0.201642:0.404236:0.201642:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.441823:0.218256:0.449298:0.218256:0.449298:0.201787:0.441823:0.201787:0.000000
y:@0.820539:0.218256:0.828226:0.218256:0.828226:0.201787:0.820539:0.201787:0.000000
variable de respuesta.:@0.404236:0.235491:0.555640:0.235491:0.555640:0.218993:0.404236:0.218993:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
En el análisis de la regresión, la variable   puede considerarse como :@0.404236:0.270192:0.895943:0.270192:0.895943:0.253694:0.404236:0.253694:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.692061:0.270308:0.699536:0.270308:0.699536:0.253839:0.692061:0.253839:0.000000
ordinaria, esto es, no se trata de una variable aleatoria. Por su parte, la :@0.404236:0.287543:0.895938:0.287543:0.895938:0.271045:0.404236:0.271045:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
variable   es una variable aleatoria, y se supone que la media   depende :@0.404236:0.304894:0.895924:0.304894:0.895924:0.288396:0.404236:0.288396:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.461338:0.305009:0.469025:0.305009:0.469025:0.288541:0.461338:0.288541:0.000000
y:@0.818458:0.305009:0.826145:0.305009:0.826145:0.288541:0.818458:0.288541:0.000000
de la variable independiente  .:@0.404236:0.322244:0.616193:0.322244:0.616193:0.305747:0.404236:0.305747:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.605847:0.322360:0.613534:0.322360:0.613534:0.305891:0.605847:0.305891:0.000000
Construimos una función que tiene la forma de un polinomio de :@0.404236:0.356946:0.895901:0.356946:0.895901:0.340448:0.404236:0.340448:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
grado ≤1 cuya gráfica se identifica con la de una recta. Con mayor :@0.404236:0.374297:0.895897:0.374297:0.895897:0.357799:0.404236:0.357799:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
precisión, se considera el problema siguiente: halla un polinomio   de :@0.404236:0.391647:0.895915:0.391647:0.895915:0.375150:0.404236:0.375150:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p:@0.860861:0.391763:0.870128:0.391763:0.870128:0.375294:0.860861:0.375294:0.000000
grado ≤1 de la forma::@0.404236:0.408998:0.556355:0.408998:0.556355:0.392500:0.404236:0.392500:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y p x:@0.551731:0.426465:0.601204:0.426465:0.601204:0.409996:0.551731:0.409996:0.000000:0.000000:0.000000:0.000000:0.000000
 =  ( ) =   +  ,        ,:@0.559418:0.426349:0.744282:0.426349:0.744282:0.409851:0.559418:0.409851:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a bx:@0.626249:0.426465:0.671060:0.426465:0.671060:0.409996:0.626249:0.409996:0.000000:0.000000:0.000000:0.000000
∀:@0.686231:0.433935:0.697804:0.433935:0.697804:0.414936:0.686231:0.414936:0.000000
x:@0.697812:0.426465:0.705287:0.426465:0.705287:0.409996:0.697812:0.409996:0.000000
:@0.709428:0.425830:0.724080:0.425830:0.724080:0.412457:0.709428:0.412457:0.000000
R:@0.728223:0.425262:0.741527:0.425262:0.741527:0.412400:0.728223:0.412400:0.000000
 :@0.404231:0.443700:0.408373:0.443700:0.408373:0.427202:0.404231:0.427202:0.000000
donde  ,      son calculados con el denominado método de míni-:@0.404231:0.461050:0.891752:0.461050:0.891752:0.444553:0.404231:0.444553:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a b:@0.455014:0.461166:0.479905:0.461166:0.479905:0.444697:0.455014:0.444697:0.000000:0.000000:0.000000
:@0.483810:0.460532:0.498463:0.460532:0.498463:0.447158:0.483810:0.447158:0.000000
R :@0.502357:0.459963:0.520268:0.459963:0.520268:0.447101:0.502357:0.447101:0.000000:0.000000
mos cuadrados, cuyo algoritmo se describe a continuación. :@0.404227:0.478401:0.828153:0.478401:0.828153:0.461903:0.404227:0.461903:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Algoritmo:@0.404236:0.514500:0.487042:0.514500:0.487042:0.496817:0.404236:0.496817:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para calcular las constantes óptimas  ,   mediante el método de mí-:@0.404236:0.531208:0.891729:0.531208:0.891729:0.514710:0.404236:0.514710:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a b:@0.664335:0.531323:0.689824:0.531323:0.689824:0.514855:0.664335:0.514855:0.000000:0.000000:0.000000
�:@0.665649:0.537025:0.672791:0.537025:0.672791:0.518889:0.665649:0.518889:0.000000
�:@0.682127:0.533881:0.689268:0.533881:0.689268:0.515746:0.682127:0.515746:0.000000
nimos cuadrados, se requiere la siguiente información::@0.404241:0.548559:0.787036:0.548559:0.787036:0.532061:0.404241:0.532061:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.404241:0.583477:0.416513:0.583477:0.416513:0.566762:0.404241:0.566762:0.000000:0.000000
  El número de puntos   ≥ 2.:@0.416513:0.583260:0.621725:0.583260:0.621725:0.566762:0.416513:0.566762:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.582019:0.583376:0.591382:0.583376:0.591382:0.566907:0.582019:0.566907:0.000000
2.:@0.404241:0.600828:0.416513:0.600828:0.416513:0.584113:0.404241:0.584113:0.000000:0.000000
  El conjunto de datos   = {( ,  )     |   = 1, …, n}.:@0.416513:0.600611:0.783072:0.600611:0.783072:0.584113:0.416513:0.584113:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.578975:0.600726:0.586855:0.600726:0.586855:0.584258:0.578975:0.584258:0.000000
x y:@0.617756:0.600726:0.641990:0.600726:0.641990:0.584258:0.617756:0.584258:0.000000:0.000000:0.000000
i:@0.625195:0.603956:0.627408:0.603956:0.627408:0.594355:0.625195:0.594355:0.000000
i:@0.641953:0.603956:0.644165:0.603956:0.644165:0.594355:0.641953:0.594355:0.000000
:@0.654259:0.600092:0.668911:0.600092:0.668911:0.586719:0.654259:0.586719:0.000000
R:@0.673054:0.599524:0.686358:0.599524:0.686358:0.586662:0.673054:0.586662:0.000000
2:@0.686358:0.594259:0.691311:0.594259:0.691311:0.584641:0.686358:0.584641:0.000000
i:@0.704605:0.600726:0.708400:0.600726:0.708400:0.584258:0.704605:0.584258:0.000000
Aplicación del método de mínimos cuadrados:@0.404236:0.636710:0.773438:0.636710:0.773438:0.619027:0.404236:0.619027:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.404236:0.653634:0.416508:0.653634:0.416508:0.636920:0.404236:0.636920:0.000000:0.000000
  Calcula las siguientes sumas::@0.416508:0.653417:0.627540:0.653417:0.627540:0.636920:0.416508:0.636920:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.501333:0.688235:0.509213:0.688235:0.509213:0.671766:0.501333:0.671766:0.000000
1:@0.509228:0.691397:0.514182:0.691397:0.514182:0.681779:0.509228:0.681779:0.000000
 =      ,    =      ,    =      ,    =     :@0.514182:0.688119:0.767957:0.688119:0.767957:0.671621:0.514182:0.671621:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x S:@0.549842:0.688235:0.579419:0.688235:0.579419:0.671766:0.549842:0.671766:0.000000:0.000000:0.000000
i:@0.557278:0.691464:0.559490:0.691464:0.559490:0.681863:0.557278:0.681863:0.000000
2:@0.579419:0.691397:0.584373:0.691397:0.584373:0.681779:0.579419:0.681779:0.000000
x R:@0.620033:0.688235:0.655247:0.688235:0.655247:0.671766:0.620033:0.671766:0.000000:0.000000:0.000000
i:@0.627469:0.691464:0.629681:0.691464:0.629681:0.681863:0.627469:0.681863:0.000000
2:@0.629681:0.681770:0.634634:0.681770:0.634634:0.672152:0.629681:0.672152:0.000000
1:@0.655247:0.691397:0.660201:0.691397:0.660201:0.681779:0.655247:0.681779:0.000000
y R:@0.695859:0.688235:0.727345:0.688235:0.727345:0.671766:0.695859:0.671766:0.000000:0.000000:0.000000
i:@0.703508:0.691464:0.705720:0.691464:0.705720:0.681863:0.703508:0.681863:0.000000
2:@0.727345:0.691397:0.732298:0.691397:0.732298:0.681779:0.727345:0.681779:0.000000
x y:@0.767957:0.688235:0.788718:0.688235:0.788718:0.671766:0.767957:0.671766:0.000000:0.000000:0.000000
i  i:@0.775392:0.691464:0.790891:0.691464:0.790891:0.681863:0.775392:0.681863:0.000000:0.000000:0.000000:0.000000
.:@0.791902:0.688119:0.794657:0.688119:0.794657:0.671621:0.791902:0.671621:0.000000
2.:@0.404227:0.723037:0.416499:0.723037:0.416499:0.706323:0.404227:0.706323:0.000000:0.000000
  Verifica   = :@0.416499:0.722820:0.510802:0.722820:0.510802:0.706323:0.416499:0.706323:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
z nS:@0.485064:0.722936:0.528045:0.722936:0.528045:0.706467:0.485064:0.706467:0.000000:0.000000:0.000000:0.000000
2:@0.528062:0.726098:0.533015:0.726098:0.533015:0.716480:0.528062:0.716480:0.000000
 –   ≠ 0.:@0.533015:0.722820:0.598803:0.722820:0.598803:0.706323:0.533015:0.706323:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.551799:0.722936:0.559678:0.722936:0.559678:0.706467:0.551799:0.706467:0.000000
1:@0.559677:0.726098:0.564630:0.726098:0.564630:0.716480:0.559677:0.716480:0.000000
2:@0.563507:0.716472:0.568460:0.716472:0.568460:0.706854:0.563507:0.706854:0.000000
3.:@0.404243:0.757739:0.416515:0.757739:0.416515:0.741024:0.404243:0.741024:0.000000:0.000000
  Calcula la constante óptima de regresión lineal  ::@0.416515:0.757522:0.773880:0.757522:0.773880:0.741024:0.416515:0.741024:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a:@0.762187:0.757638:0.771165:0.757638:0.771165:0.741169:0.762187:0.741169:0.000000
�:@0.763461:0.763339:0.770603:0.763339:0.770603:0.745203:0.763461:0.745203:0.000000
a =:@0.589088:0.792339:0.613046:0.792339:0.613046:0.775870:0.589088:0.775870:0.000000:0.000000:0.000000
�:@0.590354:0.798040:0.597495:0.798040:0.597495:0.779905:0.590354:0.779905:0.000000
                      . :@0.613046:0.792223:0.711068:0.792223:0.711068:0.775726:0.613046:0.775726:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
4.:@0.404230:0.827142:0.416502:0.827142:0.416502:0.810427:0.404230:0.810427:0.000000:0.000000
  Calcula el coeficiente óptimo de regresión lineal  ::@0.416502:0.826925:0.783454:0.826925:0.783454:0.810427:0.416502:0.810427:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b:@0.771461:0.827041:0.780727:0.827041:0.780727:0.810572:0.771461:0.810572:0.000000
�:@0.773035:0.829598:0.780177:0.829598:0.780177:0.811463:0.773035:0.811463:0.000000
b =:@0.588933:0.861742:0.613191:0.861742:0.613191:0.845273:0.588933:0.845273:0.000000:0.000000:0.000000
�:@0.590499:0.864300:0.597641:0.864300:0.597641:0.846164:0.590499:0.846164:0.000000
                      .:@0.613191:0.861626:0.707070:0.861626:0.707070:0.845129:0.613191:0.845129:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Recuerda que…:@0.199644:0.193226:0.309404:0.193226:0.309404:0.177754:0.199644:0.177754:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Una recta en el plano, :@0.199880:0.221854:0.344785:0.221854:0.344785:0.206791:0.199880:0.206791:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
no paralela al eje   es un con-:@0.153337:0.237696:0.343325:0.237696:0.343325:0.222633:0.153337:0.222633:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.264628:0.237802:0.271646:0.237802:0.271646:0.222765:0.264628:0.222765:0.000000
junto definido como:@0.153337:0.253538:0.288638:0.253538:0.288638:0.238475:0.153337:0.238475:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.153337:0.276614:0.162079:0.276614:0.162079:0.261578:0.153337:0.261578:0.000000
 = {( ,  ) :@0.162079:0.276509:0.219652:0.276509:0.219652:0.261446:0.162079:0.261446:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x y:@0.190294:0.276614:0.210434:0.276614:0.210434:0.261578:0.190294:0.261578:0.000000:0.000000:0.000000
 :@0.219657:0.276159:0.237799:0.276159:0.237799:0.263422:0.219657:0.263422:0.000000:0.000000
R:@0.237799:0.275505:0.249895:0.275505:0.249895:0.263812:0.237799:0.263812:0.000000
2:@0.249895:0.270708:0.254417:0.270708:0.254417:0.261926:0.249895:0.261926:0.000000
 |   =   +  },:@0.254416:0.276508:0.339780:0.276508:0.339780:0.261444:0.254416:0.261444:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y a bx:@0.266553:0.276613:0.331918:0.276613:0.331918:0.261576:0.266553:0.261576:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
donde   :@0.153344:0.299478:0.212183:0.299478:0.212183:0.284415:0.153344:0.284415:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b:@0.199940:0.299584:0.208401:0.299584:0.208401:0.284547:0.199940:0.284547:0.000000
 :@0.212182:0.299128:0.230325:0.299128:0.230325:0.286392:0.212182:0.286392:0.000000:0.000000
R:@0.230325:0.298474:0.242420:0.298474:0.242420:0.286782:0.230325:0.286782:0.000000
 es la pendiente :@0.242418:0.299477:0.347517:0.299477:0.347517:0.284414:0.242418:0.284414:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de la recta, y   :@0.153342:0.315319:0.250209:0.315319:0.250209:0.300256:0.153342:0.300256:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a:@0.238230:0.315425:0.246427:0.315425:0.246427:0.300388:0.238230:0.300388:0.000000
 :@0.250210:0.314970:0.268352:0.314970:0.268352:0.302234:0.250210:0.302234:0.000000:0.000000
R:@0.268352:0.314316:0.280448:0.314316:0.280448:0.302624:0.268352:0.302624:0.000000
 . Cuando :@0.280448:0.315319:0.346375:0.315319:0.346375:0.300256:0.280448:0.300256:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b :@0.153342:0.331267:0.165585:0.331267:0.165585:0.316230:0.153342:0.316230:0.000000:0.000000
> 0, la recta   tiene una incli-:@0.165585:0.331161:0.352864:0.331161:0.352864:0.316098:0.165585:0.316098:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.244246:0.331267:0.252988:0.331267:0.252988:0.316230:0.244246:0.316230:0.000000
nación a la derecha; cuando :@0.153342:0.347003:0.337824:0.347003:0.337824:0.331940:0.153342:0.331940:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b :@0.153342:0.362951:0.165585:0.362951:0.165585:0.347914:0.153342:0.347914:0.000000:0.000000
< 0, la recta   tiene una incli-:@0.165585:0.362845:0.352864:0.362845:0.352864:0.347782:0.165585:0.347782:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.244246:0.362951:0.252988:0.362951:0.252988:0.347914:0.244246:0.347914:0.000000
nación a la izquierda. Asociada :@0.153342:0.378687:0.355661:0.378687:0.355661:0.363624:0.153342:0.363624:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a este conjunto, existe una :@0.153342:0.394529:0.328134:0.394529:0.328134:0.379466:0.153342:0.379466:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
función polinomial   de grado :@0.153342:0.410371:0.354938:0.410371:0.354938:0.395308:0.153342:0.395308:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p:@0.281149:0.410477:0.289610:0.410477:0.289610:0.395440:0.281149:0.395440:0.000000
≤1 de la forma::@0.153342:0.426213:0.250773:0.426213:0.250773:0.411150:0.153342:0.411150:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y p x:@0.153342:0.449290:0.198513:0.449290:0.198513:0.434253:0.153342:0.434253:0.000000:0.000000:0.000000:0.000000:0.000000
 =  ( ) =   +  ,         ,:@0.160361:0.449184:0.332935:0.449184:0.332935:0.434121:0.160361:0.434121:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a bx:@0.221380:0.449290:0.262295:0.449290:0.262295:0.434253:0.221380:0.434253:0.000000:0.000000:0.000000:0.000000
∀:@0.279937:0.456110:0.290502:0.456110:0.290502:0.438764:0.279937:0.438764:0.000000
x:@0.290509:0.449289:0.297334:0.449289:0.297334:0.434253:0.290509:0.434253:0.000000
:@0.301115:0.448710:0.314493:0.448710:0.314493:0.436500:0.301115:0.436500:0.000000
R:@0.318275:0.448191:0.330422:0.448191:0.330422:0.436448:0.318275:0.436448:0.000000
de modo que su grafo  ( ) =  .:@0.153344:0.472154:0.359128:0.472154:0.359128:0.457091:0.153344:0.457091:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
G p:@0.300659:0.472259:0.325003:0.472259:0.325003:0.457223:0.300659:0.457223:0.000000:0.000000:0.000000
R:@0.347870:0.472259:0.356612:0.472259:0.356612:0.457223:0.347870:0.457223:0.000000
Supongamos que se dispone de :@0.153344:0.495125:0.363789:0.495125:0.363789:0.480061:0.153344:0.480061:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la siguiente información::@0.153344:0.510966:0.310863:0.510966:0.310863:0.495903:0.153344:0.495903:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S = {( ,  ) :@0.153344:0.533937:0.222131:0.533935:0.222131:0.518872:0.153344:0.518874:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x y:@0.188805:0.534043:0.210929:0.534040:0.210929:0.519004:0.188805:0.519006:0.000000:0.000000:0.000000
i:@0.195593:0.536989:0.197614:0.536989:0.197614:0.528223:0.195593:0.528223:0.000000
i:@0.210893:0.536989:0.212914:0.536989:0.212914:0.528223:0.210893:0.528223:0.000000
 :@0.222131:0.533586:0.240274:0.533586:0.240274:0.520850:0.222131:0.520850:0.000000:0.000000
R:@0.240274:0.532932:0.252369:0.532932:0.252369:0.521239:0.240274:0.521239:0.000000
2:@0.252369:0.528136:0.256891:0.528136:0.256891:0.519354:0.252369:0.519354:0.000000
 | :@0.256890:0.533935:0.269028:0.533935:0.269028:0.518872:0.256890:0.518872:0.000000:0.000000:0.000000
i = :@0.269028:0.534040:0.289995:0.534040:0.289995:0.519004:0.269028:0.519004:0.000000:0.000000:0.000000:0.000000
1, …,  }. :@0.289995:0.533935:0.344278:0.533935:0.344278:0.518872:0.289995:0.518872:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.324084:0.534040:0.332633:0.534040:0.332633:0.519004:0.324084:0.519004:0.000000
En la Figura 5.15. se ilustra un :@0.153338:0.556906:0.344524:0.556906:0.344524:0.541843:0.153338:0.541843:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
conjunto de puntos que siguen :@0.153338:0.572748:0.360425:0.572748:0.360425:0.557685:0.153338:0.557685:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
una tendencia o apariencia de :@0.153338:0.588590:0.351753:0.588590:0.351753:0.573527:0.153338:0.573527:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
una recta, así como la gráfica de :@0.153338:0.604432:0.364450:0.604432:0.364450:0.589369:0.153338:0.589369:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la recta de ecuación cartesiana: :@0.153338:0.620274:0.358135:0.620274:0.358135:0.605211:0.153338:0.605211:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y a bx:@0.153338:0.636221:0.218703:0.636221:0.218703:0.621185:0.153338:0.621185:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 =   +  ,         .:@0.160356:0.636116:0.289349:0.636116:0.289349:0.621053:0.160356:0.621053:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∀:@0.236349:0.643042:0.246914:0.643042:0.246914:0.625696:0.236349:0.625696:0.000000
x:@0.246921:0.636221:0.253746:0.636221:0.253746:0.621185:0.246921:0.621185:0.000000
:@0.257527:0.635642:0.270905:0.635642:0.270905:0.623432:0.257527:0.623432:0.000000
R:@0.274687:0.635123:0.286834:0.635123:0.286834:0.623380:0.274687:0.623380:0.000000
S R:@0.622751:0.785371:0.645158:0.785371:0.645158:0.768902:0.622751:0.768902:0.000000:0.000000:0.000000
2 1:@0.630631:0.786646:0.650112:0.786646:0.650112:0.777028:0.630631:0.777028:0.000000:0.000000:0.000000
 – :@0.650111:0.785256:0.668895:0.785256:0.668895:0.768758:0.650111:0.768758:0.000000:0.000000:0.000000
S R:@0.668895:0.785371:0.691303:0.785371:0.691303:0.768902:0.668895:0.768902:0.000000:0.000000:0.000000
1 2:@0.676774:0.786646:0.696255:0.786646:0.696255:0.777028:0.676774:0.777028:0.000000:0.000000:0.000000
nS:@0.630683:0.801716:0.647926:0.801716:0.647926:0.785247:0.630683:0.785247:0.000000:0.000000
2:@0.647925:0.804877:0.652878:0.804877:0.652878:0.795259:0.647925:0.795259:0.000000
 – :@0.652879:0.801600:0.671662:0.801600:0.671662:0.785103:0.652879:0.785103:0.000000:0.000000:0.000000
S:@0.671662:0.801716:0.679542:0.801716:0.679542:0.785247:0.671662:0.785247:0.000000
1:@0.679542:0.804877:0.684495:0.804877:0.684495:0.795259:0.679542:0.795259:0.000000
2:@0.683372:0.795251:0.688325:0.795251:0.688325:0.785632:0.683372:0.785632:0.000000
nR:@0.624487:0.854650:0.643424:0.854650:0.643424:0.838181:0.624487:0.838181:0.000000:0.000000
2:@0.643424:0.855925:0.648377:0.855925:0.648377:0.846307:0.643424:0.846307:0.000000
 – :@0.648377:0.854534:0.667161:0.854534:0.667161:0.838036:0.648377:0.838036:0.000000:0.000000:0.000000
S R:@0.667161:0.854650:0.689567:0.854650:0.689567:0.838181:0.667161:0.838181:0.000000:0.000000:0.000000
1 1:@0.675040:0.855925:0.694521:0.855925:0.694521:0.846307:0.675040:0.846307:0.000000:0.000000:0.000000
nS:@0.630683:0.870995:0.647926:0.870995:0.647926:0.854526:0.630683:0.854526:0.000000:0.000000
2:@0.647925:0.874156:0.652878:0.874156:0.652878:0.864538:0.647925:0.864538:0.000000
 – :@0.652879:0.870879:0.671662:0.870879:0.671662:0.854381:0.652879:0.854381:0.000000:0.000000:0.000000
S:@0.671662:0.870995:0.679542:0.870995:0.679542:0.854526:0.671662:0.854526:0.000000
1:@0.679542:0.874156:0.684495:0.874156:0.684495:0.864538:0.679542:0.864538:0.000000
2:@0.683372:0.864529:0.688325:0.864529:0.688325:0.854911:0.683372:0.854911:0.000000
∑:@0.533076:0.691907:0.548454:0.691907:0.548454:0.666084:0.533076:0.666084:0.000000
n:@0.538510:0.672539:0.543969:0.672539:0.543969:0.662938:0.538510:0.662938:0.000000
i:@0.534512:0.697601:0.536724:0.697601:0.536724:0.687999:0.534512:0.687999:0.000000
=1:@0.536724:0.697533:0.547978:0.697533:0.547978:0.687915:0.536724:0.687915:0.000000:0.000000
∑:@0.603436:0.691907:0.618814:0.691907:0.618814:0.666084:0.603436:0.666084:0.000000
n:@0.608870:0.672539:0.614329:0.672539:0.614329:0.662938:0.608870:0.662938:0.000000
i:@0.604872:0.697601:0.607084:0.697601:0.607084:0.687999:0.604872:0.687999:0.000000
=1:@0.607084:0.697533:0.618338:0.697533:0.618338:0.687915:0.607084:0.687915:0.000000:0.000000
∑:@0.678821:0.691907:0.694200:0.691907:0.694200:0.666084:0.678821:0.666084:0.000000
n:@0.684256:0.672539:0.689714:0.672539:0.689714:0.662938:0.684256:0.662938:0.000000
i:@0.680257:0.697601:0.682470:0.697601:0.682470:0.687999:0.680257:0.687999:0.000000
=1:@0.682470:0.697533:0.693724:0.697533:0.693724:0.687915:0.682470:0.687915:0.000000:0.000000
∑:@0.750857:0.691907:0.766235:0.691907:0.766235:0.666084:0.750857:0.666084:0.000000
n:@0.756291:0.672539:0.761750:0.672539:0.761750:0.662938:0.756291:0.662938:0.000000
i:@0.752293:0.697601:0.754505:0.697601:0.754505:0.687999:0.752293:0.687999:0.000000
=1:@0.754505:0.697533:0.765759:0.697533:0.765759:0.687915:0.754505:0.687915:0.000000:0.000000
p:@0.292655:0.789882:0.304136:0.789882:0.304136:0.779857:0.292655:0.779857:0.000000
 :@0.304136:0.790590:0.307017:0.790590:0.307017:0.779113:0.304136:0.779113:0.000000
Figura 5.15.:@0.307017:0.790590:0.361496:0.790590:0.361496:0.779113:0.307017:0.779113:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
0:@0.170224:0.768361:0.177242:0.768361:0.177242:0.754733:0.170224:0.754733:0.000000
x:@0.343360:0.769759:0.349965:0.769759:0.349965:0.756130:0.343360:0.756130:0.000000
y:@0.167272:0.661271:0.173733:0.661271:0.173733:0.647642:0.167272:0.647642:0.000000
y a bx:@0.285284:0.669771:0.347473:0.669771:0.347473:0.655465:0.285284:0.655465:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 =   + :@0.291961:0.669670:0.332930:0.669670:0.332930:0.655339:0.291961:0.655339:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000