58 pág.

# ARM

Pré-visualização4 páginas
```de 5%, que a
inclusa\u2dco da varia´vel nu´mero de vezes que a secadora de roupa foi
usada (X2) contribuiu para o aprimoramento do modelo na qual ja´
havia sido incorporado a varia´vel nu´mero de horas de uso do ar
VGC (FEB-UNESP) MRLM 2012 51 / 58
Ana´lise regressa\u2dco mu´ltipla com R
Diagrama de dispersão
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VGC (FEB-UNESP) MRLM 2012 52 / 58
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Matriz de diagrama de dispesão
VGC (FEB-UNESP) MRLM 2012 53 / 58
Ana´lise regressa\u2dco mu´ltipla com R
library(scatterplot3d)
scatterplot3d(x1,x2,y, main=\u201dDiagrama de dispersa\u2dco\u201d,
zlab=\u201dConsumo\u201d,xlab=expression(x[1]),ylab=expression(x[2]),lwd=3)
pairs(\u223c y + x1 + x2,data=dados, main=\u201dMatriz de diagrama de
dispesa\u2dco\u201d, lwd=3)
VGC (FEB-UNESP) MRLM 2012 54 / 58
fit=lm(y \u223c 1 + x1 + x2,data=dados)
summary(fit)
Call:
lm(formula = y \u223c 1 + x1 + x2, data = dados)
Coefficients Estimate Std. Error t value Pr(>|t|)
(Intercept) 8.1054 2.4809 3.267 0.00428 **
x1 5.4659 0.2808 19.469 1.53e-13 ***
x2 13.2166 0.8562 15.436 7.97e-12 ***
--- Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
Residual standard error: 3.935 on 18 degrees of freedom
Multiple R-squared: 0.9709, Adjusted R-squared: 0.9677
F-statistic: 300.2 on 2 and 18 DF, p-value: 1.498e-14
VGC (FEB-UNESP) MRLM 2012 55 / 58
anova(fit) Analysis of Variance Table
Source Df Sum Sq Mean Sq F value Pr(>F)
x1 1 5609.7 5609.7 362.21 2.264e-13 ***
x2 1 3690.1 3690.1 238.27 7.973e-12 ***
Residuals 18 278.8 15.5
--- Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
VGC (FEB-UNESP) MRLM 2012 56 / 58
Ana´lise Residual
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Theoretical Quantiles
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VGC (FEB-UNESP) MRLM 2012 57 / 58
Ana´lise Residual
res=residuals(fit) # residuals
resp = rstandard(fit)#standardresiduals
par(mfrow=c(2,2))
par(mai = c(0.85,0.85,0.30,0.05))
# Margins: inf, left, sup and right
qqnorm(resp,main =)
qqline(resp)