120:@0.054057:0.510692:0.082417:0.510692:0.082417:0.494068:0.054057:0.494068:0.000000:0.000000:0.000000
Tema:@0.047190:0.135475:0.083321:0.135475:0.083321:0.113749:0.047190:0.113749:0.000000:0.000000:0.000000:0.000000
5:@0.054209:0.122645:0.076302:0.122645:0.076302:0.065614:0.054209:0.065614:0.000000
Regresión y correlación:@0.115891:0.141978:0.459449:0.141978:0.459449:0.101242:0.115891:0.101242:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.24. Utilizar el método de mínimos cuadrados para determinar la recta de regresión en la resolución de problemas hipotéticos o reales, con apoyo de las TIC. :@0.125388:0.064786:0.877063:0.064786:0.877063:0.054357:0.125388:0.054357:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.25. Juzgar la validez de las soluciones obtenidas en el método de mínimos cuadrados al determinar la recta de regresión en la resolución de problemas :@0.125388:0.075348:0.877724:0.075348:0.877724:0.064918:0.125388:0.064918:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
hipotéticos o reales dentro del contexto del problema, con el apoyo de las TIC.:@0.125388:0.085909:0.490410:0.085909:0.490410:0.075480:0.125388:0.075480:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Análisis de la relación entre dos :@0.129676:0.173318:0.359951:0.173318:0.359951:0.157953:0.129676:0.157953:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
variables:@0.210372:0.188405:0.275791:0.188405:0.275791:0.173041:0.210372:0.173041:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Regresión lineal simple. Método :@0.382151:0.173318:0.617117:0.173318:0.617117:0.157953:0.382151:0.157953:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de los mínimos cuadrados:@0.403745:0.188405:0.592056:0.188405:0.592056:0.173041:0.403745:0.173041:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Algoritmo del método de los :@0.649402:0.173318:0.859509:0.173318:0.859509:0.157953:0.649402:0.157953:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mínimos cuadrados:@0.681584:0.188405:0.823844:0.188405:0.823844:0.173041:0.681584:0.173041:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El análisis de la relación entre dos  :@0.122372:0.210785:0.351005:0.210785:0.351005:0.195886:0.122372:0.195886:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
variables comienza con las :@0.122372:0.225873:0.303398:0.225873:0.303398:0.210974:0.122372:0.210974:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
construcciones del diagrama de :@0.122372:0.240960:0.339481:0.240960:0.339481:0.226061:0.122372:0.226061:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dispersión.:@0.122372:0.256048:0.194106:0.256048:0.194106:0.241149:0.122372:0.241149:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.183493:0.290196:0.186510:0.290196:0.186510:0.283599:0.183493:0.283599:0.000000
 =   + :@0.186510:0.290196:0.205612:0.290196:0.205612:0.283588:0.186510:0.283588:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a:@0.194192:0.290196:0.197930:0.290196:0.197930:0.283599:0.194192:0.283599:0.000000
bx:@0.205612:0.290196:0.212292:0.290196:0.212292:0.283599:0.205612:0.283599:0.000000:0.000000
0:@0.125554:0.341772:0.129180:0.341772:0.129180:0.335164:0.125554:0.335164:0.000000
x:@0.236202:0.342413:0.239211:0.342413:0.239211:0.335817:0.236202:0.335817:0.000000
y:@0.122737:0.272658:0.125754:0.272658:0.125754:0.266061:0.122737:0.266061:0.000000
y:@0.163606:0.412123:0.166623:0.412123:0.166623:0.405526:0.163606:0.405526:0.000000
 =   + :@0.166623:0.412123:0.185726:0.412123:0.185726:0.405515:0.166623:0.405515:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a:@0.174306:0.412123:0.178043:0.412123:0.178043:0.405526:0.174306:0.405526:0.000000
be:@0.185726:0.412123:0.192606:0.412123:0.192606:0.405526:0.185726:0.405526:0.000000:0.000000
cx:@0.192605:0.409684:0.196161:0.409684:0.196161:0.405839:0.192605:0.405839:0.000000:0.000000
0:@0.125557:0.428910:0.129183:0.428910:0.129183:0.422302:0.125557:0.422302:0.000000
x:@0.236205:0.429552:0.239214:0.429552:0.239214:0.422955:0.236205:0.422955:0.000000
y:@0.122741:0.359798:0.125757:0.359798:0.125757:0.353201:0.122741:0.353201:0.000000
y:@0.284718:0.324982:0.287734:0.324982:0.287734:0.318385:0.284718:0.318385:0.000000
 = :@0.287734:0.324982:0.295417:0.324982:0.295417:0.318374:0.287734:0.318374:0.000000:0.000000:0.000000
ax:@0.295417:0.324982:0.304192:0.324982:0.304192:0.318385:0.295417:0.318385:0.000000:0.000000:0.000000
 +   + :@0.304192:0.324982:0.326237:0.324982:0.326237:0.318374:0.304192:0.318374:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
bx:@0.311875:0.324982:0.318554:0.324982:0.318554:0.318385:0.311875:0.318385:0.000000:0.000000
c:@0.326237:0.324982:0.329328:0.324982:0.329328:0.318385:0.326237:0.318385:0.000000
0:@0.246669:0.341772:0.250295:0.341772:0.250295:0.335164:0.246669:0.335164:0.000000
x:@0.357317:0.342414:0.360326:0.342414:0.360326:0.335817:0.357317:0.335817:0.000000
y:@0.243854:0.272659:0.246870:0.272659:0.246870:0.266062:0.243854:0.266062:0.000000
0:@0.246668:0.428910:0.250294:0.428910:0.250294:0.422302:0.246668:0.422302:0.000000
x:@0.357316:0.429552:0.360325:0.429552:0.360325:0.422955:0.357316:0.422955:0.000000
y:@0.243852:0.359798:0.246869:0.359798:0.246869:0.353201:0.243852:0.353201:0.000000
Las figuras muestran tendencias del :@0.122374:0.456026:0.364694:0.456026:0.364694:0.441127:0.122374:0.441127:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
tipo lineal, cuadrático y exponencial, :@0.122374:0.471113:0.367475:0.471113:0.367475:0.456214:0.122374:0.456214:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
respectivamente, y la última no :@0.122374:0.486201:0.334374:0.486201:0.334374:0.471302:0.122374:0.471302:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
muestra tendencia alguna.:@0.122374:0.501288:0.300065:0.501288:0.300065:0.486389:0.122374:0.486389:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
En el análisis de la regresión lineal :@0.377194:0.210789:0.604674:0.210789:0.604674:0.195890:0.377194:0.195890:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
simple tenemos dos variables, la :@0.377194:0.225877:0.595791:0.225877:0.595791:0.210978:0.377194:0.210978:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
independiente (X) y la dependiente  cuadrados, se requiere la siguiente :@0.377194:0.240964:0.865443:0.240959:0.865443:0.226060:0.377194:0.226065:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(Y).:@0.377194:0.256052:0.399391:0.256052:0.399391:0.241153:0.377194:0.241153:0.000000:0.000000:0.000000:0.000000
Construimos una función que tiene :@0.377194:0.274698:0.617139:0.274698:0.617139:0.259799:0.377194:0.259799:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la forma de un polinomio de grado :@0.377194:0.289785:0.614606:0.289785:0.614606:0.274886:0.377194:0.274886:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
≤ 1 cuya gráfica se identifica con la :@0.377194:0.304873:0.613234:0.304873:0.613234:0.289974:0.377194:0.289974:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de una recta. :@0.377194:0.319960:0.467153:0.319960:0.467153:0.305061:0.377194:0.305061:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.377194:0.338606:0.383996:0.338606:0.383996:0.323732:0.377194:0.323732:0.000000
 = p( ) =   +  ,  :@0.383996:0.338606:0.494612:0.338606:0.494612:0.323707:0.383996:0.323707:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.415005:0.338606:0.421789:0.338606:0.421789:0.323732:0.415005:0.323732:0.000000
a:@0.443551:0.338606:0.451977:0.338606:0.451977:0.323732:0.443551:0.323732:0.000000
bx:@0.469299:0.338606:0.484360:0.338606:0.484360:0.323732:0.469299:0.323732:0.000000:0.000000
∀ ∈:@0.494612:0.339222:0.528954:0.339222:0.528954:0.325065:0.494612:0.325065:0.000000:0.000000:0.000000
x:@0.506556:0.338606:0.513341:0.338606:0.513341:0.323732:0.506556:0.323732:0.000000
   :@0.513341:0.338606:0.532623:0.338606:0.532623:0.323707:0.513341:0.323707:0.000000:0.000000:0.000000
R:@0.532623:0.337827:0.544718:0.337827:0.544718:0.326134:0.532623:0.326134:0.000000
Donde  ,       son calculados :@0.377194:0.357252:0.587152:0.357252:0.587152:0.342353:0.377194:0.342353:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a b:@0.426932:0.357252:0.450369:0.357252:0.450369:0.342378:0.426932:0.342378:0.000000:0.000000:0.000000
∈:@0.454038:0.357868:0.465982:0.357868:0.465982:0.343711:0.454038:0.343711:0.000000
R:@0.469651:0.356472:0.481746:0.356472:0.481746:0.344780:0.469651:0.344780:0.000000
con el denominado método de los :@0.377194:0.372340:0.613015:0.372340:0.613015:0.357441:0.377194:0.357441:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mínimos cuadrados.:@0.377194:0.387427:0.512083:0.387427:0.512083:0.372528:0.377194:0.372528:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a:@0.379826:0.417462:0.388927:0.417462:0.388927:0.401398:0.379826:0.401398:0.000000
SR:@0.409317:0.407984:0.431300:0.407984:0.431300:0.391920:0.409317:0.391920:0.000000:0.000000
SR:@0.452142:0.407984:0.471918:0.407984:0.471918:0.391920:0.452142:0.391920:0.000000:0.000000
nS:@0.414872:0.428135:0.431842:0.428135:0.431842:0.412071:0.414872:0.412071:0.000000:0.000000
S:@0.455019:0.428135:0.462944:0.428135:0.462944:0.412071:0.455019:0.412071:0.000000
b:@0.379446:0.459543:0.388547:0.459543:0.388547:0.443479:0.379446:0.443479:0.000000
nR:@0.408937:0.450064:0.426777:0.450064:0.426777:0.434001:0.408937:0.434001:0.000000:0.000000
SR:@0.449826:0.450064:0.469602:0.450064:0.469602:0.434001:0.449826:0.434001:0.000000:0.000000
nS:@0.412411:0.470215:0.429382:0.470215:0.429382:0.454152:0.412411:0.454152:0.000000:0.000000
S:@0.452558:0.470215:0.460483:0.470215:0.460483:0.454152:0.452558:0.454152:0.000000
=:@0.393287:0.418127:0.403220:0.418127:0.403220:0.402837:0.393287:0.402837:0.000000
−:@0.438464:0.408649:0.448397:0.408649:0.448397:0.393359:0.438464:0.393359:0.000000
−:@0.441341:0.428800:0.451274:0.428800:0.451274:0.413510:0.441341:0.413510:0.000000
=:@0.392907:0.460208:0.402840:0.460208:0.402840:0.444918:0.392907:0.444918:0.000000
−:@0.436167:0.450730:0.446099:0.450730:0.446099:0.435440:0.436167:0.435440:0.000000
−:@0.438899:0.470881:0.448831:0.470881:0.448831:0.455591:0.438899:0.455591:0.000000
21:@0.416906:0.410937:0.435294:0.410937:0.435294:0.401635:0.416906:0.401635:0.000000:0.000000
12:@0.459075:0.410937:0.476574:0.410937:0.476574:0.401635:0.459075:0.401635:0.000000:0.000000
2:@0.431514:0.431097:0.436618:0.431097:0.436618:0.421794:0.431514:0.421794:0.000000
1:@0.461952:0.431097:0.467056:0.431097:0.467056:0.421794:0.461952:0.421794:0.000000
2:@0.465954:0.420626:0.471058:0.420626:0.471058:0.411324:0.465954:0.411324:0.000000
2:@0.426329:0.453018:0.431434:0.453018:0.431434:0.443715:0.426329:0.443715:0.000000
1 1:@0.456767:0.453018:0.473603:0.453018:0.473603:0.443715:0.456767:0.443715:0.000000:0.000000:0.000000
2:@0.429062:0.473174:0.434166:0.473174:0.434166:0.463871:0.429062:0.463871:0.000000
1:@0.459499:0.473174:0.464604:0.473174:0.464604:0.463871:0.459499:0.463871:0.000000
2:@0.463504:0.462707:0.468609:0.462707:0.468609:0.453404:0.463504:0.453404:0.000000
Para calcular las constantes óptimas   :@0.632002:0.210784:0.876101:0.210784:0.876101:0.195885:0.632002:0.195885:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mediante el método de mínimos :@0.632002:0.225872:0.855946:0.225872:0.855946:0.210973:0.632002:0.210973:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
información::@0.632002:0.256047:0.715697:0.256047:0.715697:0.241148:0.632002:0.241148:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.632002:0.274693:0.645655:0.274693:0.645655:0.259115:0.632002:0.259115:0.000000:0.000000
  El número de puntos   ≥ 2.:@0.645655:0.274693:0.834016:0.274693:0.834016:0.259794:0.645655:0.259794:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.796959:0.274693:0.805604:0.274693:0.805604:0.259819:0.796959:0.259819:0.000000
2.:@0.632002:0.293338:0.645655:0.293338:0.645655:0.277760:0.632002:0.277760:0.000000:0.000000
  El conjunto de datos :@0.645655:0.293338:0.793979:0.293338:0.793979:0.278439:0.645655:0.278439:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
        = :@0.632002:0.311984:0.678674:0.311984:0.678674:0.297085:0.632002:0.297085:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.654014:0.311984:0.661352:0.311984:0.661352:0.297110:0.654014:0.297110:0.000000
{(:@0.678674:0.312600:0.692294:0.312600:0.692294:0.298443:0.678674:0.298443:0.000000:0.000000
x , y:@0.692294:0.311984:0.715695:0.312002:0.715695:0.297128:0.692294:0.297110:0.000000:0.000000:0.000000:0.000000:0.000000
i :@0.699077:0.314878:0.702847:0.314878:0.702847:0.306206:0.699077:0.306206:0.000000:0.000000
i:@0.715695:0.314878:0.717707:0.314878:0.717707:0.306206:0.715695:0.306206:0.000000
) ∈:@0.717707:0.312618:0.738899:0.312618:0.738899:0.298461:0.717707:0.298461:0.000000:0.000000:0.000000
    2 |   = 1, ..., :@0.723286:0.312002:0.821036:0.312002:0.821036:0.297103:0.723286:0.297103:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.742568:0.311222:0.754663:0.311222:0.754663:0.299529:0.742568:0.299529:0.000000
i:@0.770176:0.312002:0.773627:0.312002:0.773627:0.297128:0.770176:0.297128:0.000000
n:@0.821036:0.312002:0.829680:0.312002:0.829680:0.297128:0.821036:0.297128:0.000000
}:@0.829680:0.312618:0.837721:0.312618:0.837721:0.298461:0.829680:0.298461:0.000000
Aplicación del método de :@0.660431:0.340115:0.848458:0.340115:0.848458:0.324751:0.660431:0.324751:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mínimos cuadrados:@0.681572:0.355203:0.823832:0.355203:0.823832:0.339838:0.681572:0.339838:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.632002:0.378915:0.645655:0.378915:0.645655:0.363337:0.632002:0.363337:0.000000:0.000000
  :@0.645655:0.378915:0.652993:0.378915:0.652993:0.364016:0.645655:0.364016:0.000000:0.000000
Calcula:@0.652993:0.378915:0.703384:0.378915:0.703384:0.363803:0.652993:0.363803:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 las sumas:@0.703384:0.378915:0.770846:0.378915:0.770846:0.364016:0.703384:0.364016:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
      :@0.632002:0.451436:0.654014:0.451436:0.654014:0.436537:0.632002:0.436537:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.717335:0.402876:0.721251:0.402876:0.721251:0.387429:0.717335:0.387429:0.000000
 :@0.719387:0.437673:0.723303:0.437673:0.723303:0.422226:0.719387:0.422226:0.000000
S:@0.656561:0.402206:0.663421:0.402206:0.663421:0.388299:0.656561:0.388299:0.000000
x S:@0.702580:0.402206:0.728111:0.402206:0.728111:0.388299:0.702580:0.388299:0.000000:0.000000:0.000000
x:@0.769180:0.402206:0.775524:0.402206:0.775524:0.388299:0.769180:0.388299:0.000000
R:@0.656549:0.437006:0.664162:0.437006:0.664162:0.423099:0.656549:0.423099:0.000000
y R:@0.703179:0.437006:0.730910:0.437006:0.730910:0.423099:0.703179:0.423099:0.000000:0.000000:0.000000
x y:@0.771839:0.437006:0.789151:0.437006:0.789151:0.423099:0.771839:0.423099:0.000000:0.000000:0.000000
i:@0.709503:0.404744:0.711373:0.404744:0.711373:0.396684:0.709503:0.396684:0.000000
i:@0.686137:0.412327:0.688007:0.412327:0.688007:0.404267:0.686137:0.404267:0.000000
n:@0.689300:0.388380:0.693984:0.388380:0.693984:0.380320:0.689300:0.380320:0.000000
i:@0.776118:0.404744:0.777988:0.404744:0.777988:0.396684:0.776118:0.396684:0.000000
i:@0.752751:0.412327:0.754621:0.412327:0.754621:0.404267:0.752751:0.404267:0.000000
n:@0.755916:0.388380:0.760600:0.388380:0.760600:0.380320:0.755916:0.380320:0.000000
i:@0.710127:0.439545:0.711997:0.439545:0.711997:0.431485:0.710127:0.431485:0.000000
i:@0.686760:0.447127:0.688630:0.447127:0.688630:0.439068:0.686760:0.439068:0.000000
n:@0.689919:0.423179:0.694604:0.423179:0.694604:0.415120:0.689919:0.415120:0.000000
ii:@0.778788:0.439545:0.791606:0.439545:0.791606:0.431485:0.778788:0.431485:0.000000:0.000000
i:@0.755425:0.447125:0.757295:0.447125:0.757295:0.439065:0.755425:0.439065:0.000000
n:@0.758584:0.423177:0.763268:0.423177:0.763268:0.415117:0.758584:0.415117:0.000000
∑:@0.683115:0.406877:0.699867:0.406877:0.699867:0.387022:0.683115:0.387022:0.000000
∑:@0.749724:0.406877:0.766476:0.406877:0.766476:0.387022:0.749724:0.387022:0.000000
∑:@0.683749:0.441668:0.700501:0.441668:0.700501:0.421813:0.683749:0.421813:0.000000
∑:@0.752402:0.441668:0.769155:0.441668:0.769155:0.421813:0.752402:0.421813:0.000000
=:@0.670700:0.402782:0.679299:0.402782:0.679299:0.389545:0.670700:0.389545:0.000000
=:@0.737317:0.402782:0.745916:0.402782:0.745916:0.389545:0.737317:0.389545:0.000000
=:@0.671326:0.437579:0.679926:0.437579:0.679926:0.424342:0.671326:0.424342:0.000000
=:@0.739995:0.437579:0.748594:0.437579:0.748594:0.424342:0.739995:0.424342:0.000000
=:@0.688900:0.412659:0.693883:0.412659:0.693883:0.404988:0.688900:0.404988:0.000000
=:@0.755513:0.412659:0.760496:0.412659:0.760496:0.404988:0.755513:0.404988:0.000000
=:@0.689526:0.447460:0.694510:0.447460:0.694510:0.439789:0.689526:0.439789:0.000000
=:@0.758190:0.447460:0.763174:0.447460:0.763174:0.439789:0.758190:0.439789:0.000000
,:@0.713819:0.402206:0.716544:0.402206:0.716544:0.388276:0.713819:0.388276:0.000000
,:@0.785291:0.402206:0.788017:0.402206:0.788017:0.388276:0.785291:0.388276:0.000000
,:@0.714445:0.437003:0.717171:0.437003:0.717171:0.423073:0.714445:0.423073:0.000000
,:@0.794047:0.437003:0.796773:0.437003:0.796773:0.423073:0.794047:0.423073:0.000000
1:@0.662602:0.404744:0.667032:0.404744:0.667032:0.396670:0.662602:0.396670:0.000000
1:@0.693748:0.412327:0.698178:0.412327:0.698178:0.404253:0.693748:0.404253:0.000000
2:@0.727880:0.404744:0.732310:0.404744:0.732310:0.396670:0.727880:0.396670:0.000000
2:@0.779052:0.395696:0.783481:0.395696:0.783481:0.387623:0.779052:0.387623:0.000000
1:@0.760360:0.412327:0.764790:0.412327:0.764790:0.404253:0.760360:0.404253:0.000000
1:@0.663219:0.439545:0.667649:0.439545:0.667649:0.431471:0.663219:0.431471:0.000000
1:@0.694365:0.447128:0.698795:0.447128:0.698795:0.439054:0.694365:0.439054:0.000000
2:@0.730540:0.439545:0.734970:0.439545:0.734970:0.431471:0.730540:0.431471:0.000000
1:@0.763020:0.447128:0.767450:0.447128:0.767450:0.439054:0.763020:0.439054:0.000000
2. :@0.632002:0.470088:0.649039:0.470088:0.649039:0.454511:0.632002:0.454511:0.000000:0.000000:0.000000
 :@0.649039:0.470088:0.652708:0.470088:0.652708:0.455189:0.649039:0.455189:0.000000
Verifica:@0.652708:0.470088:0.703702:0.470088:0.703702:0.454976:0.652708:0.454976:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
   =  2 –  12:@0.703702:0.470088:0.783410:0.470088:0.783410:0.455189:0.703702:0.455189:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
z:@0.707371:0.470088:0.713954:0.470088:0.713954:0.455215:0.707371:0.455215:0.000000
nS:@0.731276:0.470088:0.747258:0.470088:0.747258:0.455215:0.731276:0.455215:0.000000:0.000000
S .:@0.767763:0.470088:0.786442:0.470088:0.786442:0.455215:0.767763:0.455215:0.000000:0.000000:0.000000
3.:@0.632002:0.488734:0.645655:0.488734:0.645655:0.473156:0.632002:0.473156:0.000000:0.000000
  :@0.645655:0.488734:0.652993:0.488734:0.652993:0.473835:0.645655:0.473835:0.000000:0.000000
Calcula:@0.652993:0.488734:0.703384:0.488734:0.703384:0.473622:0.652993:0.473622:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.703384:0.488734:0.707053:0.488734:0.707053:0.473835:0.703384:0.473835:0.000000
a.:@0.707053:0.488734:0.718511:0.488734:0.718511:0.473860:0.707053:0.473860:0.000000:0.000000
4.:@0.632002:0.507380:0.645655:0.507380:0.645655:0.491802:0.632002:0.491802:0.000000:0.000000
  :@0.645655:0.507380:0.652993:0.507380:0.652993:0.492481:0.645655:0.492481:0.000000:0.000000
Calcula:@0.652993:0.507380:0.703384:0.507380:0.703384:0.492267:0.652993:0.492267:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.703384:0.507380:0.707053:0.507380:0.707053:0.492481:0.703384:0.492481:0.000000
b.:@0.707053:0.507380:0.718176:0.507380:0.718176:0.492506:0.707053:0.492506:0.000000:0.000000
5. :@0.632002:0.526026:0.649039:0.526026:0.649039:0.510448:0.632002:0.510448:0.000000:0.000000:0.000000
 :@0.649039:0.526026:0.652708:0.526026:0.652708:0.511127:0.649039:0.511127:0.000000
Escribe:@0.652708:0.526026:0.702479:0.526026:0.702479:0.510913:0.652708:0.510913:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 la recta   =   + :@0.702479:0.526026:0.807835:0.526026:0.807835:0.511127:0.702479:0.511127:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.757963:0.526026:0.764765:0.526026:0.764765:0.511152:0.757963:0.511152:0.000000
a:@0.782086:0.526026:0.790513:0.526026:0.790513:0.511152:0.782086:0.511152:0.000000
bx.:@0.807835:0.526026:0.825928:0.526026:0.825928:0.511152:0.807835:0.511152:0.000000:0.000000:0.000000
Actividad resuelta:@0.115209:0.568993:0.272331:0.568993:0.272331:0.550556:0.115209:0.550556:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Se tiene la función definida como:  ( ) =   = 3 + 2 ,  :@0.115209:0.588839:0.513817:0.588839:0.513817:0.572450:0.115209:0.572450:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p x:@0.376789:0.588839:0.398405:0.588839:0.398405:0.572478:0.376789:0.572478:0.000000:0.000000:0.000000
y:@0.424959:0.588839:0.432441:0.588839:0.432441:0.572478:0.424959:0.572478:0.000000
x:@0.493768:0.588839:0.501231:0.588839:0.501231:0.572478:0.493768:0.572478:0.000000
∀ ∈:@0.515125:0.589517:0.554321:0.589517:0.554321:0.573944:0.515125:0.573944:0.000000:0.000000:0.000000
x:@0.528264:0.588839:0.535728:0.588839:0.535728:0.572478:0.528264:0.572478:0.000000
    . :@0.535728:0.588839:0.580028:0.588839:0.580028:0.572450:0.535728:0.572450:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.559665:0.587982:0.572970:0.587982:0.572970:0.575120:0.559665:0.575120:0.000000
Tomamos:@0.581336:0.588839:0.656336:0.588839:0.656336:0.572215:0.581336:0.572215:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 valores de   de 0, 1, 2, 3, 4, 5,  :@0.656336:0.588839:0.883918:0.588839:0.883918:0.572450:0.656336:0.572450:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.742781:0.588839:0.750244:0.588839:0.750244:0.572478:0.742781:0.572478:0.000000
armamos:@0.115190:0.605436:0.187206:0.605436:0.187206:0.588812:0.115190:0.588812:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 la tabla de valores de  , y :@0.187206:0.605436:0.376437:0.605436:0.376437:0.589047:0.187206:0.589047:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.349570:0.605436:0.357051:0.605436:0.357051:0.589074:0.349570:0.589074:0.000000
buscamos:@0.376437:0.605436:0.454294:0.605436:0.454294:0.588812:0.376437:0.588812:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 una función de la forma  ( ) =   =   +  ,  :@0.454294:0.605436:0.765631:0.605436:0.765631:0.589047:0.454294:0.589047:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p x:@0.637391:0.605436:0.659007:0.605436:0.659007:0.589074:0.637391:0.589074:0.000000:0.000000:0.000000
y:@0.682944:0.605436:0.690426:0.605436:0.690426:0.589074:0.682944:0.589074:0.000000
a:@0.709480:0.605436:0.718749:0.605436:0.718749:0.589074:0.709480:0.589074:0.000000
bx:@0.737803:0.605436:0.754370:0.605436:0.754370:0.589074:0.737803:0.589074:0.000000:0.000000
∀ ∈:@0.765631:0.606113:0.803407:0.606113:0.803407:0.590540:0.765631:0.590540:0.000000:0.000000:0.000000
x:@0.778770:0.605436:0.786233:0.605436:0.786233:0.589074:0.778770:0.589074:0.000000
    .:@0.786233:0.605436:0.823770:0.605436:0.823770:0.589047:0.786233:0.589047:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.807443:0.604578:0.820748:0.604578:0.820748:0.591716:0.807443:0.591716:0.000000
Construimos:@0.115190:0.629155:0.212691:0.629155:0.212691:0.612531:0.115190:0.612531:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 la tabla de valores de  , y :@0.212691:0.629155:0.401923:0.629155:0.401923:0.612766:0.212691:0.612766:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.375055:0.629155:0.382537:0.629155:0.382537:0.612793:0.375055:0.612793:0.000000
calculamos:@0.401923:0.629155:0.487832:0.629155:0.487832:0.612531:0.401923:0.612531:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 las sumas  1,  2,  1,  2.:@0.487832:0.629155:0.643343:0.629155:0.643343:0.612766:0.487832:0.612766:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S S R R:@0.566076:0.629155:0.634866:0.629155:0.634866:0.612793:0.566076:0.612793:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.283917:0.655352:0.292193:0.655352:0.292193:0.639988:0.283917:0.639988:0.000000
0:@0.353389:0.655352:0.361564:0.655352:0.361564:0.640453:0.353389:0.640453:0.000000
1:@0.422811:0.655352:0.430986:0.655352:0.430986:0.640453:0.422811:0.640453:0.000000
2:@0.492233:0.655352:0.500408:0.655352:0.500408:0.640453:0.492233:0.640453:0.000000
3:@0.561655:0.655352:0.569830:0.655352:0.569830:0.640453:0.561655:0.640453:0.000000
4:@0.631077:0.655352:0.639252:0.655352:0.639252:0.640453:0.631077:0.640453:0.000000
5:@0.700499:0.655352:0.708674:0.655352:0.708674:0.640453:0.700499:0.640453:0.000000
y:@0.283833:0.678524:0.292210:0.678524:0.292210:0.663160:0.283833:0.663160:0.000000
3:@0.353356:0.678524:0.361531:0.678524:0.361531:0.663625:0.353356:0.663625:0.000000
5:@0.422778:0.678524:0.430953:0.678524:0.430953:0.663625:0.422778:0.663625:0.000000
7:@0.492200:0.678524:0.500375:0.678524:0.500375:0.663625:0.492200:0.663625:0.000000
9:@0.561622:0.678524:0.569797:0.678524:0.569797:0.663625:0.561622:0.663625:0.000000
11:@0.626956:0.678524:0.643306:0.678524:0.643306:0.663625:0.626956:0.663625:0.000000:0.000000
13:@0.696378:0.678524:0.712728:0.678524:0.712728:0.663625:0.696378:0.663625:0.000000:0.000000
=:@0.341314:0.721136:0.351707:0.721136:0.351707:0.702963:0.341314:0.702963:0.000000
1:@0.163791:0.773650:0.169131:0.773650:0.169131:0.763118:0.163791:0.763118:0.000000
1:@0.483657:0.764729:0.488997:0.764729:0.488997:0.754197:0.483657:0.754197:0.000000
1:@0.520769:0.773650:0.526109:0.773650:0.526109:0.763118:0.520769:0.763118:0.000000
1:@0.164517:0.814592:0.169857:0.814592:0.169857:0.804060:0.164517:0.804060:0.000000
S:@0.118193:0.720348:0.126264:0.720348:0.126264:0.703987:0.118193:0.703987:0.000000
x:@0.172333:0.720348:0.179796:0.720348:0.179796:0.703987:0.172333:0.703987:0.000000
S:@0.118193:0.761286:0.126264:0.761286:0.126264:0.744924:0.118193:0.744924:0.000000
x:@0.174581:0.761286:0.182045:0.761286:0.182045:0.744924:0.174581:0.744924:0.000000
R:@0.475800:0.761286:0.484755:0.761286:0.484755:0.744924:0.475800:0.744924:0.000000
y:@0.531562:0.761286:0.539043:0.761286:0.539043:0.744924:0.531562:0.744924:0.000000
R:@0.118193:0.802223:0.127149:0.802223:0.127149:0.785862:0.118193:0.785862:0.000000
x y:@0.175300:0.802223:0.195663:0.802223:0.195663:0.785862:0.175300:0.785862:0.000000:0.000000:0.000000
i:@0.180491:0.723334:0.182691:0.723334:0.182691:0.713852:0.180491:0.713852:0.000000
i:@0.153002:0.732255:0.155202:0.732255:0.155202:0.722773:0.153002:0.722773:0.000000
i:@0.182734:0.764276:0.184934:0.764276:0.184934:0.754794:0.182734:0.754794:0.000000
i:@0.154828:0.773197:0.157028:0.773197:0.157028:0.763715:0.154828:0.763715:0.000000
n:@0.158961:0.745023:0.164472:0.745023:0.164472:0.735541:0.158961:0.735541:0.000000
i:@0.539712:0.764276:0.541912:0.764276:0.541912:0.754794:0.539712:0.754794:0.000000
i:@0.511806:0.773197:0.514006:0.773197:0.514006:0.763715:0.511806:0.763715:0.000000
n:@0.515939:0.745023:0.521450:0.745023:0.521450:0.735541:0.515939:0.735541:0.000000
ii:@0.183460:0.805218:0.198540:0.805218:0.198540:0.795736:0.183460:0.795736:0.000000:0.000000
i:@0.155554:0.814139:0.157754:0.814139:0.157754:0.804657:0.155554:0.804657:0.000000
n:@0.159687:0.785965:0.165198:0.785965:0.165198:0.776483:0.159687:0.776483:0.000000
∑:@0.149446:0.725843:0.169154:0.725843:0.169154:0.702484:0.149446:0.702484:0.000000
∑:@0.151697:0.766784:0.171406:0.766784:0.171406:0.743425:0.151697:0.743425:0.000000
∑:@0.508687:0.766784:0.528395:0.766784:0.528395:0.743425:0.508687:0.743425:0.000000
∑:@0.152431:0.807725:0.172139:0.807725:0.172139:0.784365:0.152431:0.784365:0.000000
=:@0.134841:0.721026:0.144958:0.721026:0.144958:0.705453:0.134841:0.705453:0.000000
= ++ ++ +:@0.189331:0.721026:0.324461:0.721026:0.324461:0.705453:0.189331:0.705453:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.137089:0.761963:0.147206:0.761963:0.147206:0.746390:0.137089:0.746390:0.000000
=:@0.197292:0.761963:0.207409:0.761963:0.207409:0.746390:0.197292:0.746390:0.000000
+:@0.231273:0.761963:0.241389:0.761963:0.241389:0.746390:0.231273:0.746390:0.000000
+:@0.259965:0.761963:0.270081:0.761963:0.270081:0.746390:0.259965:0.746390:0.000000
+:@0.292526:0.761963:0.302643:0.761963:0.302643:0.746390:0.292526:0.746390:0.000000
+:@0.324664:0.761963:0.334781:0.761963:0.334781:0.746390:0.324664:0.746390:0.000000
+:@0.358700:0.761963:0.368817:0.761963:0.368817:0.746390:0.358700:0.746390:0.000000
=:@0.391888:0.761963:0.402005:0.761963:0.402005:0.746390:0.391888:0.746390:0.000000
=:@0.494088:0.761963:0.504204:0.761963:0.504204:0.746390:0.494088:0.746390:0.000000
= ++ ++:@0.548578:0.761963:0.660379:0.761963:0.660379:0.746390:0.548578:0.746390:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
+:@0.680465:0.761963:0.690582:0.761963:0.690582:0.746390:0.680465:0.746390:0.000000
=:@0.714022:0.761963:0.724138:0.761963:0.724138:0.746390:0.714022:0.746390:0.000000
=:@0.137845:0.802901:0.147961:0.802901:0.147961:0.787328:0.137845:0.787328:0.000000
= ++:@0.205216:0.802901:0.266893:0.802901:0.266893:0.787328:0.205216:0.787328:0.000000:0.000000:0.000000:0.000000
+:@0.290444:0.802901:0.300561:0.802901:0.300561:0.787328:0.290444:0.787328:0.000000
+:@0.324885:0.802901:0.335002:0.802901:0.335002:0.787328:0.324885:0.787328:0.000000
+:@0.360432:0.802901:0.370549:0.802901:0.370549:0.787328:0.360432:0.787328:0.000000
=:@0.395500:0.802901:0.405617:0.802901:0.405617:0.787328:0.395500:0.787328:0.000000
=:@0.156252:0.732646:0.162115:0.732646:0.162115:0.723621:0.156252:0.723621:0.000000
=:@0.158089:0.773588:0.163952:0.773588:0.163952:0.764563:0.158089:0.764563:0.000000
=:@0.515067:0.773588:0.520930:0.773588:0.520930:0.764563:0.515067:0.764563:0.000000
=:@0.158815:0.814530:0.164678:0.814530:0.164678:0.805505:0.158815:0.805505:0.000000
01 23 45:@0.203787:0.720348:0.336742:0.720348:0.336742:0.703959:0.203787:0.703959:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.355649:0.720348:0.373432:0.720348:0.373432:0.703959:0.355649:0.703959:0.000000:0.000000
0:@0.211729:0.761286:0.220722:0.761286:0.220722:0.744897:0.211729:0.744897:0.000000
1:@0.243499:0.761286:0.252491:0.761286:0.252491:0.744897:0.243499:0.744897:0.000000
2:@0.273351:0.761286:0.282344:0.761286:0.282344:0.744897:0.273351:0.744897:0.000000
3:@0.305913:0.761286:0.314906:0.761286:0.314906:0.744897:0.305913:0.744897:0.000000
4:@0.338788:0.761286:0.347781:0.761286:0.347781:0.744897:0.338788:0.744897:0.000000
5:@0.372087:0.761286:0.381079:0.761286:0.381079:0.744897:0.372087:0.744897:0.000000
55:@0.406325:0.761286:0.424108:0.761286:0.424108:0.744897:0.406325:0.744897:0.000000:0.000000
35 79 11 13:@0.563015:0.761286:0.710473:0.761286:0.710473:0.744897:0.563015:0.744897:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
48:@0.729177:0.761286:0.746960:0.761286:0.746960:0.744897:0.729177:0.744897:0.000000:0.000000
05 14 27 44 65 155:@0.219635:0.802223:0.435349:0.802223:0.435349:0.785834:0.219635:0.785834:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.125312:0.723334:0.130524:0.723334:0.130524:0.713836:0.125312:0.713836:0.000000
1:@0.161954:0.732255:0.167166:0.732255:0.167166:0.722757:0.161954:0.722757:0.000000
6:@0.156721:0.704081:0.161933:0.704081:0.161933:0.694583:0.156721:0.694583:0.000000
2:@0.125996:0.764276:0.131207:0.764276:0.131207:0.754778:0.125996:0.754778:0.000000
2:@0.186197:0.753631:0.191409:0.753631:0.191409:0.744133:0.186197:0.744133:0.000000
2:@0.221215:0.753631:0.226427:0.753631:0.226427:0.744133:0.221215:0.744133:0.000000
2:@0.249912:0.753631:0.255123:0.753631:0.255123:0.744133:0.249912:0.744133:0.000000
2:@0.282474:0.753631:0.287686:0.753631:0.287686:0.744133:0.282474:0.744133:0.000000
2:@0.314620:0.753631:0.319831:0.753631:0.319831:0.744133:0.314620:0.744133:0.000000
2:@0.348645:0.753631:0.353857:0.753631:0.353857:0.744133:0.348645:0.744133:0.000000
2:@0.380791:0.753631:0.386003:0.753631:0.386003:0.744133:0.380791:0.744133:0.000000
2:@0.126733:0.805218:0.131944:0.805218:0.131944:0.795720:0.126733:0.795720:0.000000
Calculamos:@0.115209:0.842849:0.203422:0.842849:0.203422:0.826225:0.115209:0.826225:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
   =  2 –  2 = 6 55  –  15 2 = 105 ≠ 0:@0.203422:0.842849:0.477389:0.842849:0.477389:0.826460:0.203422:0.826460:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
z:@0.207457:0.842849:0.214700:0.842849:0.214700:0.826488:0.207457:0.826488:0.000000
nS:@0.233754:0.842849:0.251334:0.842849:0.251334:0.826488:0.233754:0.826488:0.000000:0.000000
S:@0.273889:0.842849:0.281960:0.842849:0.281960:0.826488:0.273889:0.826488:0.000000
1:@0.281959:0.846013:0.286922:0.846013:0.286922:0.836474:0.281959:0.836474:0.000000
( ) ( ):@0.320238:0.843527:0.398039:0.843527:0.398039:0.827954:0.320238:0.827954:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ˆ:@0.121970:0.878841:0.128106:0.878841:0.128106:0.860668:0.121970:0.860668:0.000000
()(:@0.241435:0.871062:0.277350:0.871062:0.277350:0.852889:0.241435:0.852889:0.000000:0.000000:0.000000
) ()(:@0.296754:0.871062:0.354101:0.871062:0.354101:0.852889:0.296754:0.852889:0.000000:0.000000:0.000000:0.000000:0.000000
):@0.379642:0.871062:0.385778:0.871062:0.385778:0.852889:0.379642:0.852889:0.000000
ˆ:@0.122226:0.918804:0.128363:0.918804:0.128363:0.900631:0.122226:0.900631:0.000000
()(:@0.236607:0.914171:0.264893:0.914171:0.264893:0.895998:0.236607:0.895998:0.000000:0.000000:0.000000
) ()(:@0.290434:0.914171:0.347762:0.914171:0.347762:0.895998:0.290434:0.895998:0.000000:0.000000:0.000000:0.000000:0.000000
):@0.367166:0.914171:0.373303:0.914171:0.373303:0.895998:0.367166:0.895998:0.000000
a:@0.119300:0.879232:0.128569:0.879232:0.128569:0.862871:0.119300:0.862871:0.000000
SR:@0.149245:0.869488:0.171874:0.869488:0.171874:0.853126:0.149245:0.853126:0.000000:0.000000
SR:@0.193010:0.869488:0.213373:0.869488:0.213373:0.853126:0.193010:0.853126:0.000000:0.000000
nS:@0.155056:0.890272:0.172341:0.890272:0.172341:0.873911:0.155056:0.873911:0.000000:0.000000
S:@0.195892:0.890272:0.203963:0.890272:0.203963:0.873911:0.195892:0.873911:0.000000
b:@0.118933:0.922333:0.128202:0.922333:0.128202:0.905972:0.118933:0.905972:0.000000
nR:@0.148878:0.912583:0.167048:0.912583:0.167048:0.896221:0.148878:0.896221:0.000000:0.000000
SR:@0.190451:0.912583:0.210813:0.912583:0.210813:0.896221:0.190451:0.896221:0.000000:0.000000
nS:@0.152490:0.933370:0.169775:0.933370:0.169775:0.917008:0.152490:0.917008:0.000000:0.000000
S:@0.193326:0.933370:0.201397:0.933370:0.201397:0.917008:0.193326:0.917008:0.000000
=:@0.132963:0.879910:0.143080:0.879910:0.143080:0.864337:0.132963:0.864337:0.000000
−:@0.179235:0.870159:0.189352:0.870159:0.189352:0.854586:0.179235:0.854586:0.000000
−:@0.182109:0.890946:0.192226:0.890946:0.192226:0.875373:0.182109:0.875373:0.000000
=:@0.225507:0.879910:0.235623:0.879910:0.235623:0.864337:0.225507:0.864337:0.000000
−:@0.305925:0.870947:0.316042:0.870947:0.316042:0.855375:0.305925:0.855375:0.000000
=:@0.391318:0.879910:0.401435:0.879910:0.401435:0.864337:0.391318:0.864337:0.000000
=:@0.132598:0.923011:0.142715:0.923011:0.142715:0.907438:0.132598:0.907438:0.000000
−:@0.176677:0.913260:0.186793:0.913260:0.186793:0.897688:0.176677:0.897688:0.000000
−:@0.179551:0.934047:0.189668:0.934047:0.189668:0.918474:0.179551:0.918474:0.000000
=:@0.220700:0.923011:0.230817:0.923011:0.230817:0.907438:0.220700:0.907438:0.000000
−:@0.299589:0.914049:0.309706:0.914049:0.309706:0.898476:0.299589:0.898476:0.000000
=:@0.378846:0.923011:0.388963:0.923011:0.388963:0.907438:0.378846:0.907438:0.000000
55 48:@0.247926:0.870274:0.296225:0.870274:0.296225:0.853885:0.247926:0.853885:0.000000:0.000000:0.000000:0.000000:0.000000
15 155:@0.324677:0.870274:0.379887:0.870274:0.379887:0.853885:0.324677:0.853885:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
105:@0.300021:0.889719:0.326594:0.889719:0.326594:0.873330:0.300021:0.873330:0.000000:0.000000:0.000000
3:@0.405777:0.879222:0.414770:0.879222:0.414770:0.862833:0.405777:0.862833:0.000000
6 155:@0.243477:0.913375:0.290670:0.913375:0.290670:0.896986:0.243477:0.896986:0.000000:0.000000:0.000000:0.000000:0.000000
15 48:@0.318330:0.913375:0.366629:0.913375:0.366629:0.896986:0.318330:0.896986:0.000000:0.000000:0.000000:0.000000:0.000000
105:@0.291370:0.932820:0.317943:0.932820:0.317943:0.916431:0.291370:0.916431:0.000000:0.000000:0.000000
2:@0.393294:0.922323:0.402286:0.922323:0.402286:0.905934:0.393294:0.905934:0.000000
21:@0.157045:0.872474:0.175969:0.872474:0.175969:0.862975:0.157045:0.862975:0.000000:0.000000
12:@0.200126:0.872474:0.218164:0.872474:0.218164:0.862975:0.200126:0.862975:0.000000:0.000000
2:@0.172071:0.893257:0.177282:0.893257:0.177282:0.883759:0.172071:0.883759:0.000000
1:@0.203010:0.893257:0.208221:0.893257:0.208221:0.883759:0.203010:0.883759:0.000000
2:@0.207143:0.882613:0.212354:0.882613:0.212354:0.873115:0.207143:0.873115:0.000000
2:@0.166625:0.915575:0.171837:0.915575:0.171837:0.906077:0.166625:0.906077:0.000000
1 1:@0.197564:0.915575:0.214919:0.915575:0.214919:0.906077:0.197564:0.906077:0.000000:0.000000:0.000000
2:@0.169498:0.936359:0.174710:0.936359:0.174710:0.926861:0.169498:0.926861:0.000000
1:@0.200437:0.936359:0.205649:0.936359:0.205649:0.926861:0.200437:0.926861:0.000000
2:@0.204570:0.925715:0.209782:0.925715:0.209782:0.916216:0.204570:0.916216:0.000000
ˆ:@0.466950:0.836997:0.473087:0.836997:0.473087:0.818824:0.466950:0.818824:0.000000
()(:@0.586417:0.829224:0.622332:0.829224:0.622332:0.811051:0.586417:0.811051:0.000000:0.000000:0.000000
) ()(:@0.641737:0.829224:0.699083:0.829224:0.699083:0.811051:0.641737:0.811051:0.000000:0.000000:0.000000:0.000000:0.000000
):@0.724624:0.829224:0.730761:0.829224:0.730761:0.811051:0.724624:0.811051:0.000000
ˆ:@0.467212:0.876955:0.473348:0.876955:0.473348:0.858782:0.467212:0.858782:0.000000
()(:@0.581592:0.872322:0.609879:0.872322:0.609879:0.854149:0.581592:0.854149:0.000000:0.000000:0.000000
) ()(:@0.635419:0.872322:0.692748:0.872322:0.692748:0.854149:0.635419:0.854149:0.000000:0.000000:0.000000:0.000000:0.000000
):@0.712152:0.872322:0.718288:0.872322:0.718288:0.854149:0.712152:0.854149:0.000000
a:@0.464280:0.837386:0.473549:0.837386:0.473549:0.821025:0.464280:0.821025:0.000000
SR:@0.494225:0.827636:0.516854:0.827636:0.516854:0.811275:0.494225:0.811275:0.000000:0.000000
SR:@0.537991:0.827636:0.558353:0.827636:0.558353:0.811275:0.537991:0.811275:0.000000:0.000000
nS:@0.500030:0.848423:0.517315:0.848423:0.517315:0.832062:0.500030:0.832062:0.000000:0.000000
S:@0.540865:0.848423:0.548937:0.848423:0.548937:0.832062:0.540865:0.832062:0.000000
b:@0.463913:0.880489:0.473182:0.880489:0.473182:0.864128:0.463913:0.864128:0.000000
nR:@0.493858:0.870739:0.512028:0.870739:0.512028:0.854378:0.493858:0.854378:0.000000:0.000000
SR:@0.535431:0.870739:0.555793:0.870739:0.555793:0.854378:0.535431:0.854378:0.000000:0.000000
nS:@0.497470:0.891526:0.514755:0.891526:0.514755:0.875164:0.497470:0.875164:0.000000:0.000000
S:@0.538306:0.891526:0.546377:0.891526:0.546377:0.875164:0.538306:0.875164:0.000000
=:@0.477943:0.838064:0.488060:0.838064:0.488060:0.822491:0.477943:0.822491:0.000000
−:@0.524215:0.828314:0.534332:0.828314:0.534332:0.812741:0.524215:0.812741:0.000000
−:@0.527090:0.849101:0.537207:0.849101:0.537207:0.833528:0.527090:0.833528:0.000000
=:@0.570487:0.838064:0.580604:0.838064:0.580604:0.822491:0.570487:0.822491:0.000000
−:@0.650905:0.829102:0.661022:0.829102:0.661022:0.813529:0.650905:0.813529:0.000000
=:@0.736299:0.838064:0.746416:0.838064:0.746416:0.822491:0.736299:0.822491:0.000000
=:@0.477578:0.881167:0.487695:0.881167:0.487695:0.865594:0.477578:0.865594:0.000000
−:@0.521657:0.871416:0.531774:0.871416:0.531774:0.855844:0.521657:0.855844:0.000000
−:@0.524532:0.892203:0.534649:0.892203:0.534649:0.876630:0.524532:0.876630:0.000000
=:@0.565681:0.881167:0.575797:0.881167:0.575797:0.865594:0.565681:0.865594:0.000000
−:@0.644569:0.872205:0.654686:0.872205:0.654686:0.856632:0.644569:0.856632:0.000000
=:@0.723827:0.881167:0.733943:0.881167:0.733943:0.865594:0.723827:0.865594:0.000000
55 48:@0.592907:0.828428:0.641206:0.828428:0.641206:0.812039:0.592907:0.812039:0.000000:0.000000:0.000000:0.000000:0.000000
15 155:@0.669658:0.828428:0.724867:0.828428:0.724867:0.812039:0.669658:0.812039:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
105:@0.645002:0.847873:0.671574:0.847873:0.671574:0.831485:0.645002:0.831485:0.000000:0.000000:0.000000
3:@0.750758:0.837376:0.759751:0.837376:0.759751:0.820987:0.750758:0.820987:0.000000
6 155:@0.588457:0.871531:0.635650:0.871531:0.635650:0.855142:0.588457:0.855142:0.000000:0.000000:0.000000:0.000000:0.000000
15 48:@0.663310:0.871531:0.711609:0.871531:0.711609:0.855142:0.663310:0.855142:0.000000:0.000000:0.000000:0.000000:0.000000
105:@0.636351:0.890976:0.662923:0.890976:0.662923:0.874587:0.636351:0.874587:0.000000:0.000000:0.000000
2:@0.738274:0.880479:0.747267:0.880479:0.747267:0.864090:0.738274:0.864090:0.000000
21:@0.502025:0.830629:0.520949:0.830629:0.520949:0.821131:0.502025:0.821131:0.000000:0.000000
12:@0.545107:0.830629:0.563145:0.830629:0.563145:0.821131:0.545107:0.821131:0.000000:0.000000
2:@0.517051:0.851413:0.522263:0.851413:0.522263:0.841915:0.517051:0.841915:0.000000
1:@0.547990:0.851413:0.553202:0.851413:0.553202:0.841915:0.547990:0.841915:0.000000
2:@0.552123:0.840769:0.557335:0.840769:0.557335:0.831270:0.552123:0.831270:0.000000
2:@0.511606:0.873731:0.516817:0.873731:0.516817:0.864233:0.511606:0.864233:0.000000
1 1:@0.542545:0.873731:0.559899:0.873731:0.559899:0.864233:0.542545:0.864233:0.000000:0.000000:0.000000
2:@0.514479:0.894514:0.519690:0.894514:0.519690:0.885016:0.514479:0.885016:0.000000
1:@0.545417:0.894514:0.550629:0.894514:0.550629:0.885016:0.545417:0.885016:0.000000
2:@0.549550:0.883870:0.554762:0.883870:0.554762:0.874372:0.549550:0.874372:0.000000
De donde se obtiene  ( ) = y = 3 + 2 ,  :@0.115209:0.916563:0.402569:0.916563:0.402569:0.900174:0.115209:0.900174:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p x:@0.274074:0.916563:0.295689:0.916563:0.295689:0.900201:0.274074:0.900201:0.000000:0.000000:0.000000
x:@0.383829:0.916563:0.391292:0.916563:0.391292:0.900201:0.383829:0.900201:0.000000
∀ ∈:@0.402569:0.917240:0.440346:0.917240:0.440346:0.901667:0.402569:0.901667:0.000000:0.000000:0.000000
x:@0.415708:0.916563:0.423172:0.916563:0.423172:0.900201:0.415708:0.900201:0.000000
    .:@0.423172:0.916563:0.460690:0.916563:0.460690:0.900174:0.423172:0.900174:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.444382:0.915705:0.457687:0.915705:0.457687:0.902843:0.444382:0.902843:0.000000
Shutterstock, 1556561651.:@0.895333:0.775478:0.895333:0.683358:0.881437:0.683358:0.881437:0.775478:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000