Seminari2

•  Repàsdel’anàlisiUnivariant(dadesECP2010)•  Descripcióbivariant:pesialçadaenECP2010

Descripciódelavariablediner

Box‐plot:d’alçadavs.gènere

alcadanoia=alcada[genere=="d"]alcadanoi=alcada[genere!="d"]boxplot(alcadanoia,alcadanoi,names=c("noia","noi"),col=c("blue","red"))

noia noi

1.60

1.70

1.80

1.90

data=read.table("hPp://www.econ.upf.edu/~satorra/dades/enquesta1ecp2010",header=T,na.strings="na")

1.5 1.6 1.7 1.8 1.9 2.0

02

46

8

distribucio alcada noies, nois

N = 16 Bandwidth = 0.02604

Density

noies

nois

>plot(density(alcadanoia),ylim=c(0,8),xlim=c(1.5,2),main="distribucioalcadanoies,nois")>lines(density(alcadanoi),lty=2)>legend(1.5,8,c("noies","nois"),lty=c(1,2))

Ajustderegressió

 r=cor(pes,alcada,use="complete.obs")r=0.8343868>

regressió(cont.)

regressió

Assenyalarcasos:iden`fy

Regressiópernoisinoies

lm(formula=pes[genere=="h"]~alcada[genere=="h"])(Intercept)alcada[genere=="h"]‐69.4878.40lm(pes[genere!="h"]~alcada[genere!="h"])lm(formula=pes[genere!="h"]~alcada[genere!="h"])(Intercept)alcada[genere!="h"]‐40.9458.92lm(pes~alcada)lm(formula=pes~alcada)(Intercept)alcada‐88.9988.55

plot(alcada,pes,type="n")text(alcada[genere=="h"],pes[genere=="h"],labels="nois",col="red",cex=0.8)abline(lm(pes[genere=="h"]~alcada[genere=="h"]),lty=3,col="red",lwd=2)text(alcada[genere!="h"],pes[genere!="h"],labels="noies",col="blue",cex=0.8)abline(lm(pes[genere!="h"]~alcada[genere!="h"]),lty=3,col="blue",lwd=2)abline(lm(pes~alcada),lty=3,col="black",lwd=2)legend(1.60,80,c("regressiotots","regressionois","regressionoies"),col=c("black","red","blue"),lty=3,lwd=2)