Trabalho 2 Inferência Estatística
Dalvana Ribeiro e Tatiane Bastos
25/07/2021
Análise que a prof fez em aula
Reprodução do algoritmo feito em aula pela professora:
#ENTRADA DE DADOS
dados<-read.table("dados1.txt",header = TRUE)
dados## codigo genero idade altura peso estcivil irmaos transporte
## 1 1 F 20 1.60 58 Solteiro 1 Proprio
## 2 2 F 26 1.65 59 Solteiro 2 Coletivo
## 3 3 F 18 1.64 55 Solteiro 2 Proprio
## 4 4 F 25 1.73 60 Solteiro 2 Coletivo
## 5 5 M 35 1.76 83 Casado 6 Coletivo
## 6 6 F 20 1.62 58 Solteiro 2 Coletivo
## 7 7 F 29 1.72 70 Solteiro 3 Coletivo
## 8 8 M 23 1.71 62 Separado 2 Proprio
## 9 9 F 20 1.63 63 Solteiro 2 Proprio
## 10 10 M 20 1.79 75 Solteiro 2 Proprio
## 11 11 M 20 1.82 66 Solteiro 1 Proprio
## 12 12 F 30 1.68 46 Solteiro 3 Proprio
## 13 13 F 18 1.69 64 Solteiro 1 Proprio
## 14 14 M 37 1.82 80 Casado 2 Proprio
## 15 15 M 25 1.83 62 Solteiro 1 Proprio
## 16 16 F 20 1.63 68 Solteiro 2 Coletivo
## 17 17 M 21 1.71 80 Solteiro 2 Coletivo
## 18 18 M 25 1.80 82 Casado 1 Proprio
## 19 19 F 24 1.62 55 Solteiro 2 Proprio
## 20 20 M 19 1.74 58 Solteiro 2 Proprio
## 21 21 F 21 1.55 65 Solteiro 1 Proprio
## 22 22 M 22 1.73 62 Solteiro 0 Proprio
## 23 23 F 21 1.62 60 Solteiro 2 Proprio
## 24 24 F 27 1.67 61 Solteiro 3 Coletivo
## 25 25 F 19 1.66 57 Solteiro 3 Proprio
## 26 26 F 26 1.75 62 Solteiro 3 Coletivo
## 27 27 M 36 1.78 85 Casado 5 Coletivo
## 28 28 F 21 1.64 60 Solteiro 1 Coletivo
## 29 29 F 30 1.74 72 Solteiro 2 Coletivo
## 30 30 M 24 1.73 64 Separado 1 Proprio
## 31 31 F 21 1.65 65 Solteiro 1 Proprio
## 32 32 M 21 1.81 77 Solteiro 3 Proprio
## 33 33 M 21 1.84 68 Solteiro 2 Proprio
## 34 34 F 31 1.70 48 Solteiro 4 Proprio
## 35 35 F 19 1.71 66 Solteiro 2 Proprio
## 36 36 M 38 1.84 82 Casado 1 Proprio
## 37 37 M 26 1.85 64 Solteiro 0 Proprio
## 38 38 F 21 1.65 70 Solteiro 1 Coletivo
## 39 39 M 22 1.73 82 Solteiro 1 Coletivo
## 40 40 M 26 1.82 84 Casado 0 Proprio#IDENTIFICAÇÃO DAS VARIÁVEIS
peso<-dados[,5]
peso## [1] 58 59 55 60 83 58 70 62 63 75 66 46 64 80 62 68 80 82 55 58 65 62 60 61 57
## [26] 62 85 60 72 64 65 77 68 48 66 82 64 70 82 84altura<-dados[,4]
altura## [1] 1.60 1.65 1.64 1.73 1.76 1.62 1.72 1.71 1.63 1.79 1.82 1.68 1.69 1.82 1.83
## [16] 1.63 1.71 1.80 1.62 1.74 1.55 1.73 1.62 1.67 1.66 1.75 1.78 1.64 1.74 1.73
## [31] 1.65 1.81 1.84 1.70 1.71 1.84 1.85 1.65 1.73 1.82#ESTUDO EXPLORATÓRIO DAS VARIÁVEIS ENVOLVIDAS
summary(peso)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 46.00 60.00 64.00 66.45 72.75 85.00var(peso) ## [1] 100.3051sd(peso)## [1] 10.01524plot(peso)
hist(peso)
boxplot(peso)
qqnorm(peso)
summary(altura) ## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.550 1.650 1.715 1.716 1.782 1.850var(altura) ## [1] 0.006161795sd(altura) ## [1] 0.0784971plot(altura)
hist(altura)
boxplot(altura)
qqnorm(altura)
#DIAGRAMA DE DISPERSÃO
plot(altura, peso)
#COEFICIENTE LINEAR DE PEARSON
cor(altura, peso)## [1] 0.5411842cor.test(altura, peso)##
## Pearson's product-moment correlation
##
## data: altura and peso
## t = 3.9673, df = 38, p-value = 0.0003112
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.2762454 0.7296811
## sample estimates:
## cor
## 0.5411842#REGRESSÃO LINEAR
ajuste<-lm(peso~altura)
summary(ajuste)##
## Call:
## lm(formula = peso ~ altura)
##
## Residuals:
## Min 1Q Median 3Q Max
## -17.930 -5.704 -0.513 6.558 14.618
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -52.07 29.91 -1.741 0.089739 .
## altura 69.05 17.40 3.967 0.000311 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 8.532 on 38 degrees of freedom
## Multiple R-squared: 0.2929, Adjusted R-squared: 0.2743
## F-statistic: 15.74 on 1 and 38 DF, p-value: 0.0003112anova(ajuste)## Analysis of Variance Table
##
## Response: peso
## Df Sum Sq Mean Sq F value Pr(>F)
## altura 1 1145.7 1145.72 15.739 0.0003112 ***
## Residuals 38 2766.2 72.79
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#REPRESENTAÇÃO GRÁFICA DO MODELO
plot(peso, altura)
abline(lm(peso~altura))
#INTERVALO DE CONFIÇA PARA OS COEFICIENTES
confint(ajuste,level=0.95)## 2.5 % 97.5 %
## (Intercept) -112.61162 8.468765
## altura 33.81466 104.281966#VESTIMATIVAS POR PONTO DE ACORDO COM O MODELO
fit<-fitted(ajuste)
fit## 1 2 3 4 5 6 7 8
## 58.40587 61.85829 61.16780 67.38215 69.45360 59.78684 66.69167 66.00119
## 9 10 11 12 13 14 15 16
## 60.47732 71.52505 73.59650 63.92974 64.62022 73.59650 74.28698 60.47732
## 17 18 19 20 21 22 23 24
## 66.00119 72.21553 59.78684 68.07264 54.95346 67.38215 59.78684 63.23925
## 25 26 27 28 29 30 31 32
## 62.54877 68.76312 70.83457 61.16780 68.07264 67.38215 61.85829 72.90602
## 33 34 35 36 37 38 39 40
## 74.97747 65.31070 66.00119 74.97747 75.66795 61.85829 67.38215 73.59650#RESÍDUOS
res<-resid(ajuste)
res## 1 2 3 4 5
## -0.405871583 -2.858287212 -6.167804086 -7.382152220 13.546398402
## 6 7 8 9 10
## -1.786837834 3.308330906 -4.001185968 2.522679040 3.474949024
## 11 12 13 14 15
## -7.596500354 -17.929736590 -0.620219716 6.403499646 -12.286983480
## 16 17 18 19 20
## 7.522679040 13.998814032 9.784465898 -4.786837834 -10.072635346
## 21 22 23 24 25
## 10.046544047 -5.382152220 0.213162166 -2.239253464 -5.548770338
## 26 27 28 29 30
## -6.763118472 14.165432150 -1.167804086 3.927364654 -3.382152220
## 31 32 33 34 35
## 3.141712788 4.093982772 -6.977466606 -17.310702842 -0.001185968
## 36 37 38 39 40
## 7.022533394 -11.667949732 8.141712788 14.617847780 10.403499646summary(res)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -17.930 -5.704 -0.513 0.000 6.558 14.618plot(res)
#AVALIAÇÃO DA NORMALIDADE
boxplot(res)
hist(res)
qqnorm(res)
shapiro.test(res)##
## Shapiro-Wilk normality test
##
## data: res
## W = 0.97734, p-value = 0.5917#AVALIAÇÃO DA INDEPENDENCIA
library(lmtest)## Carregando pacotes exigidos: zoo##
## Attaching package: 'zoo'## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
dwtest(peso~altura)##
## Durbin-Watson test
##
## data: peso ~ altura
## DW = 1.917, p-value = 0.3933
## alternative hypothesis: true autocorrelation is greater than 0#Busca por padrão
plot(fit,res)
plot(peso,res)
plot(altura,res)
#AVALIAÇÃ DA HOMOCEDASTICIDADE
gqtest(peso~altura)##
## Goldfeld-Quandt test
##
## data: peso ~ altura
## GQ = 1.0073, df1 = 18, df2 = 18, p-value = 0.494
## alternative hypothesis: variance increases from segment 1 to 2bptest(peso~altura)##
## studentized Breusch-Pagan test
##
## data: peso ~ altura
## BP = 1.8658, df = 1, p-value = 0.172#PREVISÃO DE VALOR ESPERADO E DE VALOR INDIVIDUAL
pred<-data.frame(altura = 1.80)
predict(ajuste,pred,interval="confidence")## fit lwr upr
## 1 72.21553 68.20137 76.2297predict(ajuste,pred,interval="prediction")## fit lwr upr
## 1 72.21553 54.48317 89.9479#Medidas dos erros
library(forecast)## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zooaccuracy(ajuste)## ME RMSE MAE MPE MAPE MASE
## Training set -3.549678e-16 8.31592 6.81678 -1.60133 10.43488 0.8454921Análise utilizando parte dos dados de COVID-19 em Quaraí
Utilizamos a idade e a pontuação dos sintomas como primeiro teste dos métodos propostos
library(emmeans) # para análises estatísticas
library(ggplot2) # plotagem de gráficos
library(knitr) # para personalizar os estilos
library(htmltools) # para o relatório em html
library(readxl) # para ler tabelas em xls
library(rmarkdown) # usado no relatório
# ================================================================================
# Lendo os dados
dados <- read.table("covid1.txt",header = TRUE)
#IDENTIFICAÇÃO DAS VARIÁVEIS
idade<-dados[,1]
idade## [1] 54 39 59 76 9 85 55 73 41 49 55 83 10 16 17 42 31 87 22 18 81 81 80 46 78
## [26] 54 50 81 35 22 29 51 28 36 55 28 21 23 43 33 28 22 42 38 27 64 18 60 67 32
## [51] 66 69 43 43 67 79 82 60 39 30 1 32 29 43 43 54 73 32 37 33 71 39 36 80 59
## [76] 22 50 52 22 58 37 16 18 19 20 20 19 19 26 40 35 31 45 28 39 21 41 38 32 61
## [101] 47 38 37 5 1 33 64 69 26 60 64 64 33 31 43 29 55 59 31 70 29 53 35 70 62
## [126] 50 45 52 11 74 68 26 39 7 36 73 54 16 37 32 58 48 26 57 24 41 14 61 26 56
## [151] 50 38 66 68 19 27 37 38 49 27 32 40 34 37 67 42 55 28 1 1 31 63 80 45 10
## [176] 4 45 48 14 64 1 40 23 40 25 21 36 65 40 16 53 67 68 43 39 39 30 25 44 31
## [201] 43 54 56 76 30 30 62 31 28 33 67 87 31 60 50 37 34 53 26 39 37 42 36 54 13
## [226] 19 2 45 21 31 34 43 39 14 27 71 32 27 16 23 17 16 25 24 17 20 28 33 58 50
## [251] 32 56 60 42 29 15 45 6 53 38 48 51 26 53 25 48 23 62 27 68 40 30 23 17 61
## [276] 20 28 65 13 15 23 41 81 19 57 33 66 37 38 42 54 55 32 41 64 34 46 73 35 38
## [301] 42 37 79 33 7 48 48 16 16 37 34 30 22 25 4 31 27 23 58 23 17 29 35 9 51
## [326] 18 44 21 50 56 25 57 30 60 27 33 28 29 22 40 21 4 56 38 18 73 73 80 20 23
## [351] 21 39 41 52 28 32 36 23 29 29 14 22 14 26 51 31 23 63 77 72 22 29 49 22 60
## [376] 44 27 44 40 24 57 30 58 46 34 56 61 44 47 35 43 28 26 38 33 46 31 48 28 32
## [401] 57 34 17 54 36 30 30 44 26 53 47 33 20 27 36 26 44 40 38 29 27 40 36 31 19
## [426] 22 21 58 28 46 33 32 33 50 28 62 22 23 50 52 68 65 62 24 57 43 41 28 56 35
## [451] 62 18 46 73 58 44 58 22 45 29 14 35 82 24 62 56 22 65 17 53 42 27 27 17 65
## [476] 23 21 31 47 58 27 63 16 24 44 69 63 69 21 49 25 67 55 45 81 14 56 26 44 29
## [501] 85 45 33 34 53 4 59 63 50 23 44 41 16 34 36 33 36 71 79 37 77 53 58 21 38
## [526] 28 75 49 59 39 36 48 41 54 69 25 16 83 84 60 41 58 51 39 35 30 35 86 66 65
## [551] 43 27 62 68 36 29 31 47 58 18 23 26 25 57 73 78 13 49 59 84 58 27 34 57 31
## [576] 28 29 80 59 34 52 46 23 48 56 56 58 32 81 84 40 16 41 55 53 23 30 69 32 35
## [601] 30 49 16 62 24 64 72 21 51 28 40 27 54 42 49 38 37 69 1 37 55 32 62 51 16
## [626] 32 42 44 12 49 30 22 23 50 30 28 58 61 53 65 37 31 75 35 58 26 56 18 30 27
## [651] 40 72 39 42 33 63 30 23 21 73 40 52 43 55 67 45 24 36 38 21 39 42 32 47 57
## [676] 49 54 29 34 23 68 50 11 66 37 43 47 21 64 54 41 42 20 57 18 29 5 10 44 39
## [701] 38 29 24 41pontuacao<-dados[,2]
pontuacao## [1] 16 30 17 19 3 0 19 11 26 11 22 19 0 0 0 21 0 12 11 0 10 10 25 30 23
## [26] 0 0 15 30 6 0 8 0 0 0 0 13 0 10 0 22 0 10 10 10 4 0 20 11 0
## [51] 0 24 3 0 17 8 0 14 10 17 3 16 4 18 3 6 16 1 28 0 22 12 0 5 22
## [76] 5 23 29 11 10 5 18 0 0 17 9 1 13 5 4 12 0 0 0 0 0 0 8 0 0
## [101] 1 4 15 10 0 24 0 1 3 0 10 0 5 5 13 11 5 19 0 2 11 12 0 23 0
## [126] 3 2 18 0 21 0 4 0 0 0 8 16 1 6 1 12 10 12 0 13 13 0 16 10 6
## [151] 4 13 24 18 0 14 24 20 25 25 19 13 13 3 23 17 8 4 1 14 0 10 11 0 0
## [176] 11 6 13 0 12 5 5 5 4 19 0 0 0 14 6 25 23 0 0 0 23 16 10 6 12
## [201] 13 9 9 17 22 10 16 8 0 14 17 0 12 10 11 19 13 26 25 0 19 12 27 2 7
## [226] 16 1 22 15 3 4 9 8 20 16 11 18 2 14 10 8 0 7 30 33 8 7 24 0 0
## [251] 5 1 24 33 28 14 24 21 6 6 1 17 8 14 4 15 11 0 6 15 21 1 3 0 0
## [276] 14 6 13 0 16 6 15 19 17 12 11 0 4 10 18 12 13 12 12 6 5 10 33 21 19
## [301] 16 11 11 15 8 24 14 1 9 14 2 24 3 22 13 0 14 3 7 4 7 0 9 5 10
## [326] 0 9 24 8 20 23 10 0 25 22 9 6 13 16 14 8 12 11 20 10 0 11 34 0 11
## [351] 13 3 5 16 12 16 0 20 0 12 5 12 8 19 19 21 31 18 10 15 14 14 6 0 17
## [376] 22 13 21 0 10 8 24 9 0 10 16 12 20 4 0 18 16 17 15 10 12 11 0 3 22
## [401] 9 0 0 7 10 6 6 20 24 0 16 22 11 22 12 2 26 10 20 30 7 7 22 33 5
## [426] 9 23 11 7 15 0 24 11 33 22 5 13 14 15 27 14 26 24 2 17 25 19 24 18 15
## [451] 19 17 22 11 17 32 23 34 27 29 24 26 11 16 22 18 9 12 34 33 31 10 22 1 13
## [476] 16 24 20 22 12 16 8 0 0 32 1 23 20 14 18 2 2 21 18 1 12 6 10 0 5
## [501] 29 12 32 22 18 13 14 21 15 6 20 15 0 10 0 16 24 16 15 30 17 20 13 22 17
## [526] 8 12 9 8 33 6 10 0 6 17 18 9 13 29 5 20 6 16 13 9 11 13 6 14 8
## [551] 18 21 17 12 10 0 12 10 18 6 0 8 14 8 8 0 28 14 13 17 19 18 12 6 16
## [576] 12 8 6 15 11 11 11 10 18 13 13 21 21 11 11 14 20 0 6 9 7 0 18 20 10
## [601] 6 7 12 7 5 5 6 0 7 20 14 1 12 11 32 14 18 12 31 13 6 16 8 10 18
## [626] 7 0 0 12 11 13 20 2 18 3 10 18 12 11 31 13 18 2 6 14 5 21 21 11 19
## [651] 18 11 16 24 3 21 4 4 31 5 12 10 11 0 19 12 12 1 10 15 23 23 21 15 19
## [676] 3 31 11 16 19 11 20 16 18 20 13 6 1 7 6 14 8 6 10 23 11 11 5 10 10
## [701] 1 4 11 13summary(idade)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.00 27.00 38.00 40.85 55.00 87.00var(idade) ## [1] 340.843sd(idade)## [1] 18.46193plot(idade)
hist(idade)
boxplot(idade)
qqnorm(idade)
summary(pontuacao) ## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.00 5.00 11.00 11.75 18.00 34.00var(pontuacao) ## [1] 72.17425sd(pontuacao) ## [1] 8.495543plot(pontuacao)
hist(pontuacao)
boxplot(pontuacao)
qqnorm(pontuacao)
#DIAGRAMA DE DISPERSÃO
plot(idade, pontuacao)
#COEFICIENTE LINEAR DE PEARSON
cor(idade, pontuacao)## [1] 0.1095746cor.test(idade, pontuacao)##
## Pearson's product-moment correlation
##
## data: idade and pontuacao
## t = 2.9208, df = 702, p-value = 0.003603
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.03597397 0.18199295
## sample estimates:
## cor
## 0.1095746#REGRESSÃO LINEAR
ajuste<-lm(idade~pontuacao)
summary(ajuste)##
## Call:
## lm(formula = idade ~ pontuacao)
##
## Residuals:
## Min 1Q Median 3Q Max
## -44.436 -13.960 -2.198 13.921 48.945
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 38.05470 1.18170 32.203 <2e-16 ***
## pontuacao 0.23812 0.08153 2.921 0.0036 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 18.36 on 702 degrees of freedom
## Multiple R-squared: 0.01201, Adjusted R-squared: 0.0106
## F-statistic: 8.531 on 1 and 702 DF, p-value: 0.003603anova(ajuste)## Analysis of Variance Table
##
## Response: idade
## Df Sum Sq Mean Sq F value Pr(>F)
## pontuacao 1 2877 2876.93 8.5311 0.003603 **
## Residuals 702 236736 337.23
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#REPRESENTAÇÃO GRÁFICA DO MODELO
plot(idade, pontuacao)
abline(lm(idade~pontuacao))
#INTERVALO DE CONFIANÇA PARA OS COEFICIENTES
confint(ajuste,level=0.95)## 2.5 % 97.5 %
## (Intercept) 35.73460483 40.3747966
## pontuacao 0.07805662 0.3981834#VESTIMATIVAS POR PONTO DE ACORDO COM O MODELO
fit<-fitted(ajuste)
fit## 1 2 3 4 5 6 7 8
## 41.86462 45.19830 42.10274 42.57898 38.76906 38.05470 42.57898 40.67402
## 9 10 11 12 13 14 15 16
## 44.24582 40.67402 43.29334 42.57898 38.05470 38.05470 38.05470 43.05522
## 17 18 19 20 21 22 23 24
## 38.05470 40.91214 40.67402 38.05470 40.43590 40.43590 44.00770 45.19830
## 25 26 27 28 29 30 31 32
## 43.53146 38.05470 38.05470 41.62650 45.19830 39.48342 38.05470 39.95966
## 33 34 35 36 37 38 39 40
## 38.05470 38.05470 38.05470 38.05470 41.15026 38.05470 40.43590 38.05470
## 41 42 43 44 45 46 47 48
## 43.29334 38.05470 40.43590 40.43590 40.43590 39.00718 38.05470 42.81710
## 49 50 51 52 53 54 55 56
## 40.67402 38.05470 38.05470 43.76958 38.76906 38.05470 42.10274 39.95966
## 57 58 59 60 61 62 63 64
## 38.05470 41.38838 40.43590 42.10274 38.76906 41.86462 39.00718 42.34086
## 65 66 67 68 69 70 71 72
## 38.76906 39.48342 41.86462 38.29282 44.72206 38.05470 43.29334 40.91214
## 73 74 75 76 77 78 79 80
## 38.05470 39.24530 43.29334 39.24530 43.53146 44.96018 40.67402 40.43590
## 81 82 83 84 85 86 87 88
## 39.24530 42.34086 38.05470 38.05470 42.10274 40.19778 38.29282 41.15026
## 89 90 91 92 93 94 95 96
## 39.24530 39.00718 40.91214 38.05470 38.05470 38.05470 38.05470 38.05470
## 97 98 99 100 101 102 103 104
## 38.05470 39.95966 38.05470 38.05470 38.29282 39.00718 41.62650 40.43590
## 105 106 107 108 109 110 111 112
## 38.05470 43.76958 38.05470 38.29282 38.76906 38.05470 40.43590 38.05470
## 113 114 115 116 117 118 119 120
## 39.24530 39.24530 41.15026 40.67402 39.24530 42.57898 38.05470 38.53094
## 121 122 123 124 125 126 127 128
## 40.67402 40.91214 38.05470 43.53146 38.05470 38.76906 38.53094 42.34086
## 129 130 131 132 133 134 135 136
## 38.05470 43.05522 38.05470 39.00718 38.05470 38.05470 38.05470 39.95966
## 137 138 139 140 141 142 143 144
## 41.86462 38.29282 39.48342 38.29282 40.91214 40.43590 40.91214 38.05470
## 145 146 147 148 149 150 151 152
## 41.15026 41.15026 38.05470 41.86462 40.43590 39.48342 39.00718 41.15026
## 153 154 155 156 157 158 159 160
## 43.76958 42.34086 38.05470 41.38838 43.76958 42.81710 44.00770 44.00770
## 161 162 163 164 165 166 167 168
## 42.57898 41.15026 41.15026 38.76906 43.53146 42.10274 39.95966 39.00718
## 169 170 171 172 173 174 175 176
## 38.29282 41.38838 38.05470 40.43590 40.67402 38.05470 38.05470 40.67402
## 177 178 179 180 181 182 183 184
## 39.48342 41.15026 38.05470 40.91214 39.24530 39.24530 39.24530 39.00718
## 185 186 187 188 189 190 191 192
## 42.57898 38.05470 38.05470 38.05470 41.38838 39.48342 44.00770 43.53146
## 193 194 195 196 197 198 199 200
## 38.05470 38.05470 38.05470 43.53146 41.86462 40.43590 39.48342 40.91214
## 201 202 203 204 205 206 207 208
## 41.15026 40.19778 40.19778 42.10274 43.29334 40.43590 41.86462 39.95966
## 209 210 211 212 213 214 215 216
## 38.05470 41.38838 42.10274 38.05470 40.91214 40.43590 40.67402 42.57898
## 217 218 219 220 221 222 223 224
## 41.15026 44.24582 44.00770 38.05470 42.57898 40.91214 44.48394 38.53094
## 225 226 227 228 229 230 231 232
## 39.72154 41.86462 38.29282 43.29334 41.62650 38.76906 39.00718 40.19778
## 233 234 235 236 237 238 239 240
## 39.95966 42.81710 41.86462 40.67402 42.34086 38.53094 41.38838 40.43590
## 241 242 243 244 245 246 247 248
## 39.95966 38.05470 39.72154 45.19830 45.91266 39.95966 39.72154 43.76958
## 249 250 251 252 253 254 255 256
## 38.05470 38.05470 39.24530 38.29282 43.76958 45.91266 44.72206 41.38838
## 257 258 259 260 261 262 263 264
## 43.76958 43.05522 39.48342 39.48342 38.29282 42.10274 39.95966 41.38838
## 265 266 267 268 269 270 271 272
## 39.00718 41.62650 40.67402 38.05470 39.48342 41.62650 43.05522 38.29282
## 273 274 275 276 277 278 279 280
## 38.76906 38.05470 38.05470 41.38838 39.48342 41.15026 38.05470 41.86462
## 281 282 283 284 285 286 287 288
## 39.48342 41.62650 42.57898 42.10274 40.91214 40.67402 38.05470 39.00718
## 289 290 291 292 293 294 295 296
## 40.43590 42.34086 40.91214 41.15026 40.91214 40.91214 39.48342 39.24530
## 297 298 299 300 301 302 303 304
## 40.43590 45.91266 43.05522 42.57898 41.86462 40.67402 40.67402 41.62650
## 305 306 307 308 309 310 311 312
## 39.95966 43.76958 41.38838 38.29282 40.19778 41.38838 38.53094 43.76958
## 313 314 315 316 317 318 319 320
## 38.76906 43.29334 41.15026 38.05470 41.38838 38.76906 39.72154 39.00718
## 321 322 323 324 325 326 327 328
## 39.72154 38.05470 40.19778 39.24530 40.43590 38.05470 40.19778 43.76958
## 329 330 331 332 333 334 335 336
## 39.95966 42.81710 43.53146 40.43590 38.05470 44.00770 43.29334 40.19778
## 337 338 339 340 341 342 343 344
## 39.48342 41.15026 41.86462 41.38838 39.95966 40.91214 40.67402 42.81710
## 345 346 347 348 349 350 351 352
## 40.43590 38.05470 40.67402 46.15078 38.05470 40.67402 41.15026 38.76906
## 353 354 355 356 357 358 359 360
## 39.24530 41.86462 40.91214 41.86462 38.05470 42.81710 38.05470 40.91214
## 361 362 363 364 365 366 367 368
## 39.24530 40.91214 39.95966 42.57898 42.57898 43.05522 45.43642 42.34086
## 369 370 371 372 373 374 375 376
## 40.43590 41.62650 41.38838 41.38838 39.48342 38.05470 42.10274 43.29334
## 377 378 379 380 381 382 383 384
## 41.15026 43.05522 38.05470 40.43590 39.95966 43.76958 40.19778 38.05470
## 385 386 387 388 389 390 391 392
## 40.43590 41.86462 40.91214 42.81710 39.00718 38.05470 42.34086 41.86462
## 393 394 395 396 397 398 399 400
## 42.10274 41.62650 40.43590 40.91214 40.67402 38.05470 38.76906 43.29334
## 401 402 403 404 405 406 407 408
## 40.19778 38.05470 38.05470 39.72154 40.43590 39.48342 39.48342 42.81710
## 409 410 411 412 413 414 415 416
## 43.76958 38.05470 41.86462 43.29334 40.67402 43.29334 40.91214 38.53094
## 417 418 419 420 421 422 423 424
## 44.24582 40.43590 42.81710 45.19830 39.72154 39.72154 43.29334 45.91266
## 425 426 427 428 429 430 431 432
## 39.24530 40.19778 43.53146 40.67402 39.72154 41.62650 38.05470 43.76958
## 433 434 435 436 437 438 439 440
## 40.67402 45.91266 43.29334 39.24530 41.15026 41.38838 41.62650 44.48394
## 441 442 443 444 445 446 447 448
## 41.38838 44.24582 43.76958 38.53094 42.10274 44.00770 42.57898 43.76958
## 449 450 451 452 453 454 455 456
## 42.34086 41.62650 42.57898 42.10274 43.29334 40.67402 42.10274 45.67454
## 457 458 459 460 461 462 463 464
## 43.53146 46.15078 44.48394 44.96018 43.76958 44.24582 40.67402 41.86462
## 465 466 467 468 469 470 471 472
## 43.29334 42.34086 40.19778 40.91214 46.15078 45.91266 45.43642 40.43590
## 473 474 475 476 477 478 479 480
## 43.29334 38.29282 41.15026 41.86462 43.76958 42.81710 43.29334 40.91214
## 481 482 483 484 485 486 487 488
## 41.86462 39.95966 38.05470 38.05470 45.67454 38.29282 43.53146 42.81710
## 489 490 491 492 493 494 495 496
## 41.38838 42.34086 38.53094 38.53094 43.05522 42.34086 38.29282 40.91214
## 497 498 499 500 501 502 503 504
## 39.48342 40.43590 38.05470 39.24530 44.96018 40.91214 45.67454 43.29334
## 505 506 507 508 509 510 511 512
## 42.34086 41.15026 41.38838 43.05522 41.62650 39.48342 42.81710 41.62650
## 513 514 515 516 517 518 519 520
## 38.05470 40.43590 38.05470 41.86462 43.76958 41.86462 41.62650 45.19830
## 521 522 523 524 525 526 527 528
## 42.10274 42.81710 41.15026 43.29334 42.10274 39.95966 40.91214 40.19778
## 529 530 531 532 533 534 535 536
## 39.95966 45.91266 39.48342 40.43590 38.05470 39.48342 42.10274 42.34086
## 537 538 539 540 541 542 543 544
## 40.19778 41.15026 44.96018 39.24530 42.81710 39.48342 41.86462 41.15026
## 545 546 547 548 549 550 551 552
## 40.19778 40.67402 41.15026 39.48342 41.38838 39.95966 42.34086 43.05522
## 553 554 555 556 557 558 559 560
## 42.10274 40.91214 40.43590 38.05470 40.91214 40.43590 42.34086 39.48342
## 561 562 563 564 565 566 567 568
## 38.05470 39.95966 41.38838 39.95966 39.95966 38.05470 44.72206 41.38838
## 569 570 571 572 573 574 575 576
## 41.15026 42.10274 42.57898 42.34086 40.91214 39.48342 41.86462 40.91214
## 577 578 579 580 581 582 583 584
## 39.95966 39.48342 41.62650 40.67402 40.67402 40.67402 40.43590 42.34086
## 585 586 587 588 589 590 591 592
## 41.15026 41.15026 43.05522 43.05522 40.67402 40.67402 41.38838 42.81710
## 593 594 595 596 597 598 599 600
## 38.05470 39.48342 40.19778 39.72154 38.05470 42.34086 42.81710 40.43590
## 601 602 603 604 605 606 607 608
## 39.48342 39.72154 40.91214 39.72154 39.24530 39.24530 39.48342 38.05470
## 609 610 611 612 613 614 615 616
## 39.72154 42.81710 41.38838 38.29282 40.91214 40.67402 45.67454 41.38838
## 617 618 619 620 621 622 623 624
## 42.34086 40.91214 45.43642 41.15026 39.48342 41.86462 39.95966 40.43590
## 625 626 627 628 629 630 631 632
## 42.34086 39.72154 38.05470 38.05470 40.91214 40.67402 41.15026 42.81710
## 633 634 635 636 637 638 639 640
## 38.53094 42.34086 38.76906 40.43590 42.34086 40.91214 40.67402 45.43642
## 641 642 643 644 645 646 647 648
## 41.15026 42.34086 38.53094 39.48342 41.38838 39.24530 43.05522 43.05522
## 649 650 651 652 653 654 655 656
## 40.67402 42.57898 42.34086 40.67402 41.86462 43.76958 38.76906 43.05522
## 657 658 659 660 661 662 663 664
## 39.00718 39.00718 45.43642 39.24530 40.91214 40.43590 40.67402 38.05470
## 665 666 667 668 669 670 671 672
## 42.57898 40.91214 40.91214 38.29282 40.43590 41.62650 43.53146 43.53146
## 673 674 675 676 677 678 679 680
## 43.05522 41.62650 42.57898 38.76906 45.43642 40.67402 41.86462 42.57898
## 681 682 683 684 685 686 687 688
## 40.67402 42.81710 41.86462 42.34086 42.81710 41.15026 39.48342 38.29282
## 689 690 691 692 693 694 695 696
## 39.72154 39.48342 41.38838 39.95966 39.48342 40.43590 43.53146 40.67402
## 697 698 699 700 701 702 703 704
## 40.67402 39.24530 40.43590 40.43590 38.29282 39.00718 40.67402 41.15026#RESÍDUOS
res<-resid(ajuste)
res## 1 2 3 4 5 6
## 12.13537895 -6.19830132 16.89725893 33.42101889 -29.76906080 46.94529926
## 7 8 9 10 11 12
## 12.42101889 32.32597905 -3.24582124 8.32597905 11.70665883 40.42101889
## 13 14 15 16 17 18
## -28.05470074 -22.05470074 -21.05470074 -1.05522115 -7.05470074 46.08785903
## 19 20 21 22 23 24
## -18.67402095 -20.05470074 40.56409907 40.56409907 35.99229878 0.80169868
## 25 26 27 28 29 30
## 34.46853881 15.94529926 11.94529926 39.37349897 -10.19830132 -17.48342085
## 31 32 33 34 35 36
## -9.05470074 11.04033911 -10.05470074 -2.05470074 16.94529926 -10.05470074
## 37 38 39 40 41 42
## -20.15026099 -15.05470074 2.56409907 -5.05470074 -15.29334117 -16.05470074
## 43 44 45 46 47 48
## 1.56409907 -2.43590093 -13.43590093 24.99281919 -20.05470074 17.18289887
## 49 50 51 52 53 54
## 26.32597905 -6.05470074 27.94529926 25.23041879 4.23093920 4.94529926
## 55 56 57 58 59 60
## 24.89725893 39.04033911 43.94529926 18.61161899 -1.43590093 -12.10274107
## 61 62 63 64 65 66
## -37.76906080 -9.86462105 -10.00718081 0.65913891 4.23093920 14.51657915
## 67 68 69 70 71 72
## 31.13537895 -6.29282076 -7.72206128 -5.05470074 27.70665883 -1.91214097
## 73 74 75 76 77 78
## -2.05470074 40.75469917 15.70665883 -17.24530083 6.46853881 7.03981870
## 79 80 81 82 83 84
## -18.67402095 17.56409907 -2.24530083 -26.34086109 -20.05470074 -19.05470074
## 85 86 87 88 89 90
## -22.10274107 -20.19778091 -19.29282076 -22.15026099 -13.24530083 0.99281919
## 91 92 93 94 95 96
## -5.91214097 -7.05470074 6.94529926 -10.05470074 0.94529926 -17.05470074
## 97 98 99 100 101 102
## 2.94529926 -1.95966089 -6.05470074 22.94529926 8.70717924 -1.00718081
## 103 104 105 106 107 108
## -4.62650103 -35.43590093 -37.05470074 -10.76958121 25.94529926 30.70717924
## 109 110 111 112 113 114
## -12.76906080 21.94529926 23.56409907 25.94529926 -6.24530083 -8.24530083
## 115 116 117 118 119 120
## 1.84973901 -11.67402095 15.75469917 16.42101889 -7.05470074 31.46905922
## 121 122 123 124 125 126
## -11.67402095 12.08785903 -3.05470074 26.46853881 23.94529926 11.23093920
## 127 128 129 130 131 132
## 6.46905922 9.65913891 -27.05470074 30.94477885 29.94529926 -13.00718081
## 133 134 135 136 137 138
## 0.94529926 -31.05470074 -2.05470074 33.04033911 12.13537895 -22.29282076
## 139 140 141 142 143 144
## -2.48342085 -6.29282076 17.08785903 7.56409907 -14.91214097 18.94529926
## 145 146 147 148 149 150
## -17.15026099 -0.15026099 -24.05470074 19.13537895 -14.43590093 16.51657915
## 151 152 153 154 155 156
## 10.99281919 -3.15026099 22.23041879 25.65913891 -19.05470074 -14.38838101
## 157 158 159 160 161 162
## -6.76958121 -4.81710113 4.99229878 -17.00770122 -10.57898111 -1.15026099
## 163 164 165 166 167 168
## -7.15026099 -1.76906080 23.46853881 -0.10274107 15.04033911 -11.00718081
## 169 170 171 172 173 174
## -37.29282076 -40.38838101 -7.05470074 22.56409907 39.32597905 6.94529926
## 175 176 177 178 179 180
## -28.05470074 -36.67402095 5.51657915 6.84973901 -24.05470074 23.08785903
## 181 182 183 184 185 186
## -38.24530083 0.75469917 -16.24530083 0.99281919 -17.57898111 -17.05470074
## 187 188 189 190 191 192
## -2.05470074 26.94529926 -1.38838101 -23.48342085 8.99229878 23.46853881
## 193 194 195 196 197 198
## 29.94529926 4.94529926 0.94529926 -4.53146119 -11.86462105 -15.43590093
## 199 200 201 202 203 204
## 4.51657915 -9.91214097 1.84973901 13.80221909 15.80221909 33.89725893
## 205 206 207 208 209 210
## -13.29334117 -10.43590093 20.13537895 -8.95966089 -10.05470074 -8.38838101
## 211 212 213 214 215 216
## 24.89725893 48.94529926 -9.91214097 19.56409907 9.32597905 -5.57898111
## 217 218 219 220 221 222
## -7.15026099 8.75417876 -18.00770122 0.94529926 -5.57898111 1.08785903
## 223 224 225 226 227 228
## -8.48394126 15.46905922 -26.72154087 -22.86462105 -36.29282076 1.70665883
## 229 230 231 232 233 234
## -20.62650103 -7.76906080 -5.00718081 2.80221909 -0.95966089 -28.81710113
## 235 236 237 238 239 240
## -14.86462105 30.32597905 -10.34086109 -11.53094078 -25.38838101 -17.43590093
## 241 242 243 244 245 246
## -22.95966089 -22.05470074 -14.72154087 -21.19830132 -28.91266138 -19.95966089
## 247 248 249 250 251 252
## -11.72154087 -10.76958121 19.94529926 11.94529926 -7.24530083 17.70717924
## 253 254 255 256 257 258
## 16.23041879 -3.91266138 -15.72206128 -26.38838101 1.23041879 -37.05522115
## 259 260 261 262 263 264
## 13.51657915 -1.48342085 9.70717924 8.89725893 -13.95966089 11.61161899
## 265 266 267 268 269 270
## -14.00718081 6.37349897 -17.67402095 23.94529926 -12.48342085 26.37349897
## 271 272 273 274 275 276
## -3.05522115 -8.29282076 -15.76906080 -21.05470074 22.94529926 -21.38838101
## 277 278 279 280 281 282
## -11.48342085 23.84973901 -25.05470074 -26.86462105 -16.48342085 -0.62650103
## 283 284 285 286 287 288
## 38.42101889 -23.10274107 16.08785903 -7.67402095 27.94529926 -2.00718081
## 289 290 291 292 293 294
## -2.43590093 -0.34086109 13.08785903 13.84973901 -8.91214097 0.08785903
## 295 296 297 298 299 300
## 24.51657915 -5.24530083 5.56409907 27.08733862 -8.05522115 -4.57898111
## 301 302 303 304 305 306
## 0.13537895 -3.67402095 38.32597905 -8.62650103 -32.95966089 4.23041879
## 307 308 309 310 311 312
## 6.61161899 -22.29282076 -24.19778091 -4.38838101 -4.53094078 -13.76958121
## 313 314 315 316 317 318
## -16.76906080 -18.29334117 -37.15026099 -7.05470074 -14.38838101 -15.76906080
## 319 320 321 322 323 324
## 18.27845913 -16.00718081 -22.72154087 -9.05470074 -5.19778091 -30.24530083
## 325 326 327 328 329 330
## 10.56409907 -20.05470074 3.80221909 -22.76958121 10.04033911 13.18289887
## 331 332 333 334 335 336
## -18.53146119 16.56409907 -8.05470074 15.99229878 -16.29334117 -7.19778091
## 337 338 339 340 341 342
## -11.48342085 -12.15026099 -19.86462105 -1.38838101 -18.95966089 -36.91214097
## 343 344 345 346 347 348
## 15.32597905 -4.81710113 -22.43590093 34.94529926 32.32597905 33.84921860
## 349 350 351 352 353 354
## -18.05470074 -17.67402095 -20.15026099 0.23093920 1.75469917 10.13537895
## 355 356 357 358 359 360
## -12.91214097 -9.86462105 -2.05470074 -19.81710113 -9.05470074 -11.91214097
## 361 362 363 364 365 366
## -25.24530083 -18.91214097 -25.95966089 -16.57898111 8.42101889 -12.05522115
## 367 368 369 370 371 372
## -22.43642134 20.65913891 36.56409907 30.37349897 -19.38838101 -12.38838101
## 373 374 375 376 377 378
## 9.51657915 -16.05470074 17.89725893 0.70665883 -14.15026099 0.94477885
## 379 380 381 382 383 384
## 1.94529926 -16.43590093 17.04033911 -13.76958121 17.80221909 7.94529926
## 385 386 387 388 389 390
## -6.43590093 14.13537895 20.08785903 1.18289887 7.99281919 -3.05470074
## 391 392 393 394 395 396
## 0.65913891 -13.86462105 -16.10274107 -3.62650103 -7.43590093 5.08785903
## 397 398 399 400 401 402
## -9.67402095 9.94529926 -10.76906080 -11.29334117 16.80221909 -4.05470074
## 403 404 405 406 407 408
## -21.05470074 14.27845913 -4.43590093 -9.48342085 -9.48342085 1.18289887
## 409 410 411 412 413 414
## -17.76958121 14.94529926 5.13537895 -10.29334117 -20.67402095 -16.29334117
## 415 416 417 418 419 420
## -4.91214097 -12.53094078 -0.24582124 -0.43590093 -4.81710113 -16.19830132
## 421 422 423 424 425 426
## -12.72154087 0.27845913 -7.29334117 -14.91266138 -20.24530083 -18.19778091
## 427 428 429 430 431 432
## -22.53146119 17.32597905 -11.72154087 4.37349897 -5.05470074 -11.76958121
## 433 434 435 436 437 438
## -7.67402095 4.08733862 -15.29334117 22.75469917 -19.15026099 -18.38838101
## 439 440 441 442 443 444
## 8.37349897 7.51605874 26.61161899 20.75417876 18.23041879 -14.53094078
## 445 446 447 448 449 450
## 14.89725893 -1.00770122 -1.57898111 -15.76958121 13.65913891 -6.62650103
## 451 452 453 454 455 456
## 19.42101889 -24.10274107 2.70665883 32.32597905 15.89725893 -1.67454136
## 457 458 459 460 461 462
## 14.46853881 -24.15078140 0.51605874 -15.96018130 -29.76958121 -9.24582124
## 463 464 465 466 467 468
## 41.32597905 -17.86462105 18.70665883 13.65913891 -18.19778091 24.08785903
## 469 470 471 472 473 474
## -29.15078140 7.08733862 -3.43642134 -13.43590093 -16.29334117 -21.29282076
## 475 476 477 478 479 480
## 23.84973901 -18.86462105 -22.76958121 -11.81710113 3.70665883 17.08785903
## 481 482 483 484 485 486
## -14.86462105 23.04033911 -22.05470074 -14.05470074 -1.67454136 30.70717924
## 487 488 489 490 491 492
## 19.46853881 26.18289887 -20.38838101 6.65913891 -13.53094078 28.46905922
## 493 494 495 496 497 498
## 11.94477885 2.65913891 42.70717924 -26.91214097 16.51657915 -14.43590093
## 499 500 501 502 503 504
## 5.94529926 -10.24530083 40.03981870 4.08785903 -12.67454136 -9.29334117
## 505 506 507 508 509 510
## 10.65913891 -37.15026099 17.61161899 19.94477885 8.37349897 -16.48342085
## 511 512 513 514 515 516
## 1.18289887 -0.62650103 -22.05470074 -6.43590093 -2.05470074 -8.86462105
## 517 518 519 520 521 522
## -7.76958121 29.13537895 37.37349897 -8.19830132 34.89725893 10.18289887
## 523 524 525 526 527 528
## 16.84973901 -22.29334117 -4.10274107 -11.95966089 34.08785903 8.80221909
## 529 530 531 532 533 534
## 19.04033911 -6.91266138 -3.48342085 7.56409907 2.94529926 14.51657915
## 535 536 537 538 539 540
## 26.89725893 -17.34086109 -24.19778091 41.84973901 39.03981870 20.75469917
## 541 542 543 544 545 546
## -1.81710113 18.51657915 9.13537895 -2.15026099 -5.19778091 -10.67402095
## 547 548 549 550 551 552
## -6.15026099 46.51657915 24.61161899 25.04033911 0.65913891 -16.05522115
## 553 554 555 556 557 558
## 19.89725893 27.08785903 -4.43590093 -9.05470074 -9.91214097 6.56409907
## 559 560 561 562 563 564
## 15.65913891 -21.48342085 -15.05470074 -13.95966089 -16.38838101 17.04033911
## 565 566 567 568 569 570
## 33.04033911 39.94529926 -31.72206128 7.61161899 17.84973901 41.89725893
## 571 572 573 574 575 576
## 15.42101889 -15.34086109 -6.91214097 17.51657915 -10.86462105 -12.91214097
## 577 578 579 580 581 582
## -10.95966089 40.51657915 17.37349897 -6.67402095 11.32597905 5.32597905
## 583 584 585 586 587 588
## -17.43590093 5.65913891 14.84973901 14.84973901 14.94477885 -11.05522115
## 589 590 591 592 593 594
## 40.32597905 43.32597905 -1.38838101 -26.81710113 2.94529926 15.51657915
## 595 596 597 598 599 600
## 12.80221909 -16.72154087 -8.05470074 26.65913891 -10.81710113 -5.43590093
## 601 602 603 604 605 606
## -9.48342085 9.27845913 -24.91214097 22.27845913 -15.24530083 24.75469917
## 607 608 609 610 611 612
## 32.51657915 -17.05470074 11.27845913 -14.81710113 -1.38838101 -11.29282076
## 613 614 615 616 617 618
## 13.08785903 1.32597905 3.32545864 -3.38838101 -5.34086109 28.08785903
## 619 620 621 622 623 624
## -44.43642134 -4.15026099 15.51657915 -9.86462105 22.04033911 10.56409907
## 625 626 627 628 629 630
## -26.34086109 -7.72154087 3.94529926 5.94529926 -28.91214097 8.32597905
## 631 632 633 634 635 636
## -11.15026099 -20.81710113 -15.53094078 7.65913891 -8.76906080 -12.43590093
## 637 638 639 640 641 642
## 15.65913891 20.08785903 12.32597905 19.56357866 -4.15026099 -11.34086109
## 643 644 645 646 647 648
## 36.46905922 -4.48342085 16.61161899 -13.24530083 12.94477885 -25.05522115
## 649 650 651 652 653 654
## -10.67402095 -15.57898111 -2.34086109 31.32597905 -2.86462105 -1.76958121
## 655 656 657 658 659 660
## -5.76906080 19.94477885 -9.00718081 -16.00718081 -24.43642134 33.75469917
## 661 662 663 664 665 666
## -0.91214097 11.56409907 2.32597905 16.94529926 24.42101889 4.08785903
## 667 668 669 670 671 672
## -16.91214097 -2.29282076 -2.43590093 -20.62650103 -4.53146119 -1.53146119
## 673 674 675 676 677 678
## -11.05522115 5.37349897 14.42101889 10.23093920 8.56357866 -11.67402095
## 679 680 681 682 683 684
## -7.86462105 -19.57898111 27.32597905 7.18289887 -30.86462105 23.65913891
## 685 686 687 688 689 690
## -5.81710113 1.84973901 7.51657915 -17.29282076 24.27845913 14.51657915
## 691 692 693 694 695 696
## -0.38838101 2.04033911 -19.48342085 16.56409907 -25.53146119 -11.67402095
## 697 698 699 700 701 702
## -35.67402095 -29.24530083 3.56409907 -1.43590093 -0.29282076 -10.00718081
## 703 704
## -16.67402095 -0.15026099summary(res)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -44.436 -13.960 -2.198 0.000 13.921 48.945plot(res)
#AVALIAÇÃO DA NORMALIDADE
boxplot(res)
hist(res)
qqnorm(res)
shapiro.test(res)##
## Shapiro-Wilk normality test
##
## data: res
## W = 0.98102, p-value = 6.504e-08#AVALIAÇÃO DA INDEPENDENCIA
library(lmtest)
dwtest(idade~pontuacao)##
## Durbin-Watson test
##
## data: idade ~ pontuacao
## DW = 1.833, p-value = 0.01304
## alternative hypothesis: true autocorrelation is greater than 0#Busca por padrão
plot(fit,res)
plot(idade,res)
plot(pontuacao,res)
#AVALIAÇÃO DA HOMOCEDASTICIDADE
gqtest(idade ~ pontuacao)##
## Goldfeld-Quandt test
##
## data: idade ~ pontuacao
## GQ = 0.84735, df1 = 350, df2 = 350, p-value = 0.9391
## alternative hypothesis: variance increases from segment 1 to 2bptest(idade ~ pontuacao)##
## studentized Breusch-Pagan test
##
## data: idade ~ pontuacao
## BP = 0.54201, df = 1, p-value = 0.4616#PREVISÃO DE VALOR ESPERADO E DE VALOR INDIVIDUAL
pred<-data.frame(idade = 60)
predict(ajuste,pred,interval="confidence")## Warning: 'newdata' had 1 row but variables found have 704 rows## fit lwr upr
## 1 41.86462 40.34489 43.38435
## 2 45.19830 41.97635 48.42025
## 3 42.10274 40.50492 43.70056
## 4 42.57898 40.79189 44.36607
## 5 38.76906 36.81780 40.72032
## 6 38.05470 35.73460 40.37480
## 7 42.57898 40.79189 44.36607
## 8 40.67402 39.30989 42.03815
## 9 44.24582 41.59063 46.90102
## 10 40.67402 39.30989 42.03815
## 11 43.29334 41.16285 45.42383
## 12 42.57898 40.79189 44.36607
## 13 38.05470 35.73460 40.37480
## 14 38.05470 35.73460 40.37480
## 15 38.05470 35.73460 40.37480
## 16 43.05522 41.04542 45.06502
## 17 38.05470 35.73460 40.37480
## 18 40.91214 39.55269 42.27160
## 19 40.67402 39.30989 42.03815
## 20 38.05470 35.73460 40.37480
## 21 40.43590 39.04852 41.82328
## 22 40.43590 39.04852 41.82328
## 23 44.00770 41.48869 46.52671
## 24 45.19830 41.97635 48.42025
## 25 43.53146 41.27538 45.78754
## 26 38.05470 35.73460 40.37480
## 27 38.05470 35.73460 40.37480
## 28 41.62650 40.17139 43.08161
## 29 45.19830 41.97635 48.42025
## 30 39.48342 37.84234 41.12450
## 31 38.05470 35.73460 40.37480
## 32 39.95966 38.47423 41.44509
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## 34 38.05470 35.73460 40.37480
## 35 38.05470 35.73460 40.37480
## 36 38.05470 35.73460 40.37480
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## 39 40.43590 39.04852 41.82328
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## 41 43.29334 41.16285 45.42383
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## 43 40.43590 39.04852 41.82328
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## 46 39.00718 37.16741 40.84695
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## 53 38.76906 36.81780 40.72032
## 54 38.05470 35.73460 40.37480
## 55 42.10274 40.50492 43.70056
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## 57 38.05470 35.73460 40.37480
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## 59 40.43590 39.04852 41.82328
## 60 42.10274 40.50492 43.70056
## 61 38.76906 36.81780 40.72032
## 62 41.86462 40.34489 43.38435
## 63 39.00718 37.16741 40.84695
## 64 42.34086 40.65333 44.02839
## 65 38.76906 36.81780 40.72032
## 66 39.48342 37.84234 41.12450
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## 71 43.29334 41.16285 45.42383
## 72 40.91214 39.55269 42.27160
## 73 38.05470 35.73460 40.37480
## 74 39.24530 37.50941 40.98120
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## 79 40.67402 39.30989 42.03815
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## 81 39.24530 37.50941 40.98120
## 82 42.34086 40.65333 44.02839
## 83 38.05470 35.73460 40.37480
## 84 38.05470 35.73460 40.37480
## 85 42.10274 40.50492 43.70056
## 86 40.19778 38.76948 41.62608
## 87 38.29282 36.10046 40.48519
## 88 41.15026 39.77672 42.52380
## 89 39.24530 37.50941 40.98120
## 90 39.00718 37.16741 40.84695
## 91 40.91214 39.55269 42.27160
## 92 38.05470 35.73460 40.37480
## 93 38.05470 35.73460 40.37480
## 94 38.05470 35.73460 40.37480
## 95 38.05470 35.73460 40.37480
## 96 38.05470 35.73460 40.37480
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## 101 38.29282 36.10046 40.48519
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## 103 41.62650 40.17139 43.08161
## 104 40.43590 39.04852 41.82328
## 105 38.05470 35.73460 40.37480
## 106 43.76958 41.38378 46.15538
## 107 38.05470 35.73460 40.37480
## 108 38.29282 36.10046 40.48519
## 109 38.76906 36.81780 40.72032
## 110 38.05470 35.73460 40.37480
## 111 40.43590 39.04852 41.82328
## 112 38.05470 35.73460 40.37480
## 113 39.24530 37.50941 40.98120
## 114 39.24530 37.50941 40.98120
## 115 41.15026 39.77672 42.52380
## 116 40.67402 39.30989 42.03815
## 117 39.24530 37.50941 40.98120
## 118 42.57898 40.79189 44.36607
## 119 38.05470 35.73460 40.37480
## 120 38.53094 36.46181 40.60008
## 121 40.67402 39.30989 42.03815
## 122 40.91214 39.55269 42.27160
## 123 38.05470 35.73460 40.37480
## 124 43.53146 41.27538 45.78754
## 125 38.05470 35.73460 40.37480
## 126 38.76906 36.81780 40.72032
## 127 38.53094 36.46181 40.60008
## 128 42.34086 40.65333 44.02839
## 129 38.05470 35.73460 40.37480
## 130 43.05522 41.04542 45.06502
## 131 38.05470 35.73460 40.37480
## 132 39.00718 37.16741 40.84695
## 133 38.05470 35.73460 40.37480
## 134 38.05470 35.73460 40.37480
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## 136 39.95966 38.47423 41.44509
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## 139 39.48342 37.84234 41.12450
## 140 38.29282 36.10046 40.48519
## 141 40.91214 39.55269 42.27160
## 142 40.43590 39.04852 41.82328
## 143 40.91214 39.55269 42.27160
## 144 38.05470 35.73460 40.37480
## 145 41.15026 39.77672 42.52380
## 146 41.15026 39.77672 42.52380
## 147 38.05470 35.73460 40.37480
## 148 41.86462 40.34489 43.38435
## 149 40.43590 39.04852 41.82328
## 150 39.48342 37.84234 41.12450
## 151 39.00718 37.16741 40.84695
## 152 41.15026 39.77672 42.52380
## 153 43.76958 41.38378 46.15538
## 154 42.34086 40.65333 44.02839
## 155 38.05470 35.73460 40.37480
## 156 41.38838 39.98255 42.79421
## 157 43.76958 41.38378 46.15538
## 158 42.81710 40.92214 44.71206
## 159 44.00770 41.48869 46.52671
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## 161 42.57898 40.79189 44.36607
## 162 41.15026 39.77672 42.52380
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## 164 38.76906 36.81780 40.72032
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## 166 42.10274 40.50492 43.70056
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## 171 38.05470 35.73460 40.37480
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## 173 40.67402 39.30989 42.03815
## 174 38.05470 35.73460 40.37480
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## 184 39.00718 37.16741 40.84695
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## 186 38.05470 35.73460 40.37480
## 187 38.05470 35.73460 40.37480
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## 193 38.05470 35.73460 40.37480
## 194 38.05470 35.73460 40.37480
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## 198 40.43590 39.04852 41.82328
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## 201 41.15026 39.77672 42.52380
## 202 40.19778 38.76948 41.62608
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## 206 40.43590 39.04852 41.82328
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## 702 39.00718 37.16741 40.84695
## 703 40.67402 39.30989 42.03815
## 704 41.15026 39.77672 42.52380predict(ajuste,pred,interval="prediction")## Warning: 'newdata' had 1 row but variables found have 704 rows## fit lwr upr
## 1 41.86462 5.777994 77.95125
## 2 45.19830 9.000013 81.39659
## 3 42.10274 6.012740 78.19274
## 4 42.57898 6.480106 78.67786
## 5 38.76906 2.661686 74.87644
## 6 38.05470 1.925516 74.18389
## 7 42.57898 6.480106 78.67786
## 8 40.67402 4.593611 76.75443
## 9 44.24582 8.093571 80.39807
## 10 40.67402 4.593611 76.75443
## 11 43.29334 7.175837 79.41085
## 12 42.57898 6.480106 78.67786
## 13 38.05470 1.925516 74.18389
## 14 38.05470 1.925516 74.18389
## 15 38.05470 1.925516 74.18389
## 16 43.05522 6.944635 79.16581
## 17 38.05470 1.925516 74.18389
## 18 40.91214 4.831908 76.99237
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## 23 44.00770 7.865198 80.15020
## 24 45.19830 9.000013 81.39659
## 25 43.53146 7.406331 79.65659
## 26 38.05470 1.925516 74.18389
## 27 38.05470 1.925516 74.18389
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## 29 45.19830 9.000013 81.39659
## 30 39.48342 3.391479 75.57536
## 31 38.05470 1.925516 74.18389
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## 33 38.05470 1.925516 74.18389
## 34 38.05470 1.925516 74.18389
## 35 38.05470 1.925516 74.18389
## 36 38.05470 1.925516 74.18389
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## 38 38.05470 1.925516 74.18389
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## 40 38.05470 1.925516 74.18389
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## 264 41.38838 5.306371 77.47039
## 265 39.00718 2.905659 75.10870
## 266 41.62650 5.542537 77.71047
## 267 40.67402 4.593611 76.75443
## 268 38.05470 1.925516 74.18389
## 269 39.48342 3.391479 75.57536
## 270 41.62650 5.542537 77.71047
## 271 43.05522 6.944635 79.16581
## 272 38.29282 2.171614 74.41403
## 273 38.76906 2.661686 74.87644
## 274 38.05470 1.925516 74.18389
## 275 38.05470 1.925516 74.18389
## 276 41.38838 5.306371 77.47039
## 277 39.48342 3.391479 75.57536
## 278 41.15026 5.069494 77.23103
## 279 38.05470 1.925516 74.18389
## 280 41.86462 5.777994 77.95125
## 281 39.48342 3.391479 75.57536
## 282 41.62650 5.542537 77.71047
## 283 42.57898 6.480106 78.67786
## 284 42.10274 6.012740 78.19274
## 285 40.91214 4.831908 76.99237
## 286 40.67402 4.593611 76.75443
## 287 38.05470 1.925516 74.18389
## 288 39.00718 2.905659 75.10870
## 289 40.43590 4.354605 76.51720
## 290 42.34086 6.246778 78.43494
## 291 40.91214 4.831908 76.99237
## 292 41.15026 5.069494 77.23103
## 293 40.91214 4.831908 76.99237
## 294 40.91214 4.831908 76.99237
## 295 39.48342 3.391479 75.57536
## 296 39.24530 3.148924 75.34168
## 297 40.43590 4.354605 76.51720
## 298 45.91266 9.672458 82.15286
## 299 43.05522 6.944635 79.16581
## 300 42.57898 6.480106 78.67786
## 301 41.86462 5.777994 77.95125
## 302 40.67402 4.593611 76.75443
## 303 40.67402 4.593611 76.75443
## 304 41.62650 5.542537 77.71047
## 305 39.95966 3.874461 76.04486
## 306 43.76958 7.636118 79.90304
## 307 41.38838 5.306371 77.47039
## 308 38.29282 2.171614 74.41403
## 309 40.19778 4.114888 76.28067
## 310 41.38838 5.306371 77.47039
## 311 38.53094 2.417004 74.64488
## 312 43.76958 7.636118 79.90304
## 313 38.76906 2.661686 74.87644
## 314 43.29334 7.175837 79.41085
## 315 41.15026 5.069494 77.23103
## 316 38.05470 1.925516 74.18389
## 317 41.38838 5.306371 77.47039
## 318 38.76906 2.661686 74.87644
## 319 39.72154 3.633325 75.80976
## 320 39.00718 2.905659 75.10870
## 321 39.72154 3.633325 75.80976
## 322 38.05470 1.925516 74.18389
## 323 40.19778 4.114888 76.28067
## 324 39.24530 3.148924 75.34168
## 325 40.43590 4.354605 76.51720
## 326 38.05470 1.925516 74.18389
## 327 40.19778 4.114888 76.28067
## 328 43.76958 7.636118 79.90304
## 329 39.95966 3.874461 76.04486
## 330 42.81710 6.712725 78.92148
## 331 43.53146 7.406331 79.65659
## 332 40.43590 4.354605 76.51720
## 333 38.05470 1.925516 74.18389
## 334 44.00770 7.865198 80.15020
## 335 43.29334 7.175837 79.41085
## 336 40.19778 4.114888 76.28067
## 337 39.48342 3.391479 75.57536
## 338 41.15026 5.069494 77.23103
## 339 41.86462 5.777994 77.95125
## 340 41.38838 5.306371 77.47039
## 341 39.95966 3.874461 76.04486
## 342 40.91214 4.831908 76.99237
## 343 40.67402 4.593611 76.75443
## 344 42.81710 6.712725 78.92148
## 345 40.43590 4.354605 76.51720
## 346 38.05470 1.925516 74.18389
## 347 40.67402 4.593611 76.75443
## 348 46.15078 9.895204 82.40636
## 349 38.05470 1.925516 74.18389
## 350 40.67402 4.593611 76.75443
## 351 41.15026 5.069494 77.23103
## 352 38.76906 2.661686 74.87644
## 353 39.24530 3.148924 75.34168
## 354 41.86462 5.777994 77.95125
## 355 40.91214 4.831908 76.99237
## 356 41.86462 5.777994 77.95125
## 357 38.05470 1.925516 74.18389
## 358 42.81710 6.712725 78.92148
## 359 38.05470 1.925516 74.18389
## 360 40.91214 4.831908 76.99237
## 361 39.24530 3.148924 75.34168
## 362 40.91214 4.831908 76.99237
## 363 39.95966 3.874461 76.04486
## 364 42.57898 6.480106 78.67786
## 365 42.57898 6.480106 78.67786
## 366 43.05522 6.944635 79.16581
## 367 45.43642 9.224863 81.64798
## 368 42.34086 6.246778 78.43494
## 369 40.43590 4.354605 76.51720
## 370 41.62650 5.542537 77.71047
## 371 41.38838 5.306371 77.47039
## 372 41.38838 5.306371 77.47039
## 373 39.48342 3.391479 75.57536
## 374 38.05470 1.925516 74.18389
## 375 42.10274 6.012740 78.19274
## 376 43.29334 7.175837 79.41085
## 377 41.15026 5.069494 77.23103
## 378 43.05522 6.944635 79.16581
## 379 38.05470 1.925516 74.18389
## 380 40.43590 4.354605 76.51720
## 381 39.95966 3.874461 76.04486
## 382 43.76958 7.636118 79.90304
## 383 40.19778 4.114888 76.28067
## 384 38.05470 1.925516 74.18389
## 385 40.43590 4.354605 76.51720
## 386 41.86462 5.777994 77.95125
## 387 40.91214 4.831908 76.99237
## 388 42.81710 6.712725 78.92148
## 389 39.00718 2.905659 75.10870
## 390 38.05470 1.925516 74.18389
## 391 42.34086 6.246778 78.43494
## 392 41.86462 5.777994 77.95125
## 393 42.10274 6.012740 78.19274
## 394 41.62650 5.542537 77.71047
## 395 40.43590 4.354605 76.51720
## 396 40.91214 4.831908 76.99237
## 397 40.67402 4.593611 76.75443
## 398 38.05470 1.925516 74.18389
## 399 38.76906 2.661686 74.87644
## 400 43.29334 7.175837 79.41085
## 401 40.19778 4.114888 76.28067
## 402 38.05470 1.925516 74.18389
## 403 38.05470 1.925516 74.18389
## 404 39.72154 3.633325 75.80976
## 405 40.43590 4.354605 76.51720
## 406 39.48342 3.391479 75.57536
## 407 39.48342 3.391479 75.57536
## 408 42.81710 6.712725 78.92148
## 409 43.76958 7.636118 79.90304
## 410 38.05470 1.925516 74.18389
## 411 41.86462 5.777994 77.95125
## 412 43.29334 7.175837 79.41085
## 413 40.67402 4.593611 76.75443
## 414 43.29334 7.175837 79.41085
## 415 40.91214 4.831908 76.99237
## 416 38.53094 2.417004 74.64488
## 417 44.24582 8.093571 80.39807
## 418 40.43590 4.354605 76.51720
## 419 42.81710 6.712725 78.92148
## 420 45.19830 9.000013 81.39659
## 421 39.72154 3.633325 75.80976
## 422 39.72154 3.633325 75.80976
## 423 43.29334 7.175837 79.41085
## 424 45.91266 9.672458 82.15286
## 425 39.24530 3.148924 75.34168
## 426 40.19778 4.114888 76.28067
## 427 43.53146 7.406331 79.65659
## 428 40.67402 4.593611 76.75443
## 429 39.72154 3.633325 75.80976
## 430 41.62650 5.542537 77.71047
## 431 38.05470 1.925516 74.18389
## 432 43.76958 7.636118 79.90304
## 433 40.67402 4.593611 76.75443
## 434 45.91266 9.672458 82.15286
## 435 43.29334 7.175837 79.41085
## 436 39.24530 3.148924 75.34168
## 437 41.15026 5.069494 77.23103
## 438 41.38838 5.306371 77.47039
## 439 41.62650 5.542537 77.71047
## 440 44.48394 8.321239 80.64664
## 441 41.38838 5.306371 77.47039
## 442 44.24582 8.093571 80.39807
## 443 43.76958 7.636118 79.90304
## 444 38.53094 2.417004 74.64488
## 445 42.10274 6.012740 78.19274
## 446 44.00770 7.865198 80.15020
## 447 42.57898 6.480106 78.67786
## 448 43.76958 7.636118 79.90304
## 449 42.34086 6.246778 78.43494
## 450 41.62650 5.542537 77.71047
## 451 42.57898 6.480106 78.67786
## 452 42.10274 6.012740 78.19274
## 453 43.29334 7.175837 79.41085
## 454 40.67402 4.593611 76.75443
## 455 42.10274 6.012740 78.19274
## 456 45.67454 9.449012 81.90007
## 457 43.53146 7.406331 79.65659
## 458 46.15078 9.895204 82.40636
## 459 44.48394 8.321239 80.64664
## 460 44.96018 8.774459 81.14590
## 461 43.76958 7.636118 79.90304
## 462 44.24582 8.093571 80.39807
## 463 40.67402 4.593611 76.75443
## 464 41.86462 5.777994 77.95125
## 465 43.29334 7.175837 79.41085
## 466 42.34086 6.246778 78.43494
## 467 40.19778 4.114888 76.28067
## 468 40.91214 4.831908 76.99237
## 469 46.15078 9.895204 82.40636
## 470 45.91266 9.672458 82.15286
## 471 45.43642 9.224863 81.64798
## 472 40.43590 4.354605 76.51720
## 473 43.29334 7.175837 79.41085
## 474 38.29282 2.171614 74.41403
## 475 41.15026 5.069494 77.23103
## 476 41.86462 5.777994 77.95125
## 477 43.76958 7.636118 79.90304
## 478 42.81710 6.712725 78.92148
## 479 43.29334 7.175837 79.41085
## 480 40.91214 4.831908 76.99237
## 481 41.86462 5.777994 77.95125
## 482 39.95966 3.874461 76.04486
## 483 38.05470 1.925516 74.18389
## 484 38.05470 1.925516 74.18389
## 485 45.67454 9.449012 81.90007
## 486 38.29282 2.171614 74.41403
## 487 43.53146 7.406331 79.65659
## 488 42.81710 6.712725 78.92148
## 489 41.38838 5.306371 77.47039
## 490 42.34086 6.246778 78.43494
## 491 38.53094 2.417004 74.64488
## 492 38.53094 2.417004 74.64488
## 493 43.05522 6.944635 79.16581
## 494 42.34086 6.246778 78.43494
## 495 38.29282 2.171614 74.41403
## 496 40.91214 4.831908 76.99237
## 497 39.48342 3.391479 75.57536
## 498 40.43590 4.354605 76.51720
## 499 38.05470 1.925516 74.18389
## 500 39.24530 3.148924 75.34168
## 501 44.96018 8.774459 81.14590
## 502 40.91214 4.831908 76.99237
## 503 45.67454 9.449012 81.90007
## 504 43.29334 7.175837 79.41085
## 505 42.34086 6.246778 78.43494
## 506 41.15026 5.069494 77.23103
## 507 41.38838 5.306371 77.47039
## 508 43.05522 6.944635 79.16581
## 509 41.62650 5.542537 77.71047
## 510 39.48342 3.391479 75.57536
## 511 42.81710 6.712725 78.92148
## 512 41.62650 5.542537 77.71047
## 513 38.05470 1.925516 74.18389
## 514 40.43590 4.354605 76.51720
## 515 38.05470 1.925516 74.18389
## 516 41.86462 5.777994 77.95125
## 517 43.76958 7.636118 79.90304
## 518 41.86462 5.777994 77.95125
## 519 41.62650 5.542537 77.71047
## 520 45.19830 9.000013 81.39659
## 521 42.10274 6.012740 78.19274
## 522 42.81710 6.712725 78.92148
## 523 41.15026 5.069494 77.23103
## 524 43.29334 7.175837 79.41085
## 525 42.10274 6.012740 78.19274
## 526 39.95966 3.874461 76.04486
## 527 40.91214 4.831908 76.99237
## 528 40.19778 4.114888 76.28067
## 529 39.95966 3.874461 76.04486
## 530 45.91266 9.672458 82.15286
## 531 39.48342 3.391479 75.57536
## 532 40.43590 4.354605 76.51720
## 533 38.05470 1.925516 74.18389
## 534 39.48342 3.391479 75.57536
## 535 42.10274 6.012740 78.19274
## 536 42.34086 6.246778 78.43494
## 537 40.19778 4.114888 76.28067
## 538 41.15026 5.069494 77.23103
## 539 44.96018 8.774459 81.14590
## 540 39.24530 3.148924 75.34168
## 541 42.81710 6.712725 78.92148
## 542 39.48342 3.391479 75.57536
## 543 41.86462 5.777994 77.95125
## 544 41.15026 5.069494 77.23103
## 545 40.19778 4.114888 76.28067
## 546 40.67402 4.593611 76.75443
## 547 41.15026 5.069494 77.23103
## 548 39.48342 3.391479 75.57536
## 549 41.38838 5.306371 77.47039
## 550 39.95966 3.874461 76.04486
## 551 42.34086 6.246778 78.43494
## 552 43.05522 6.944635 79.16581
## 553 42.10274 6.012740 78.19274
## 554 40.91214 4.831908 76.99237
## 555 40.43590 4.354605 76.51720
## 556 38.05470 1.925516 74.18389
## 557 40.91214 4.831908 76.99237
## 558 40.43590 4.354605 76.51720
## 559 42.34086 6.246778 78.43494
## 560 39.48342 3.391479 75.57536
## 561 38.05470 1.925516 74.18389
## 562 39.95966 3.874461 76.04486
## 563 41.38838 5.306371 77.47039
## 564 39.95966 3.874461 76.04486
## 565 39.95966 3.874461 76.04486
## 566 38.05470 1.925516 74.18389
## 567 44.72206 8.548201 80.89592
## 568 41.38838 5.306371 77.47039
## 569 41.15026 5.069494 77.23103
## 570 42.10274 6.012740 78.19274
## 571 42.57898 6.480106 78.67786
## 572 42.34086 6.246778 78.43494
## 573 40.91214 4.831908 76.99237
## 574 39.48342 3.391479 75.57536
## 575 41.86462 5.777994 77.95125
## 576 40.91214 4.831908 76.99237
## 577 39.95966 3.874461 76.04486
## 578 39.48342 3.391479 75.57536
## 579 41.62650 5.542537 77.71047
## 580 40.67402 4.593611 76.75443
## 581 40.67402 4.593611 76.75443
## 582 40.67402 4.593611 76.75443
## 583 40.43590 4.354605 76.51720
## 584 42.34086 6.246778 78.43494
## 585 41.15026 5.069494 77.23103
## 586 41.15026 5.069494 77.23103
## 587 43.05522 6.944635 79.16581
## 588 43.05522 6.944635 79.16581
## 589 40.67402 4.593611 76.75443
## 590 40.67402 4.593611 76.75443
## 591 41.38838 5.306371 77.47039
## 592 42.81710 6.712725 78.92148
## 593 38.05470 1.925516 74.18389
## 594 39.48342 3.391479 75.57536
## 595 40.19778 4.114888 76.28067
## 596 39.72154 3.633325 75.80976
## 597 38.05470 1.925516 74.18389
## 598 42.34086 6.246778 78.43494
## 599 42.81710 6.712725 78.92148
## 600 40.43590 4.354605 76.51720
## 601 39.48342 3.391479 75.57536
## 602 39.72154 3.633325 75.80976
## 603 40.91214 4.831908 76.99237
## 604 39.72154 3.633325 75.80976
## 605 39.24530 3.148924 75.34168
## 606 39.24530 3.148924 75.34168
## 607 39.48342 3.391479 75.57536
## 608 38.05470 1.925516 74.18389
## 609 39.72154 3.633325 75.80976
## 610 42.81710 6.712725 78.92148
## 611 41.38838 5.306371 77.47039
## 612 38.29282 2.171614 74.41403
## 613 40.91214 4.831908 76.99237
## 614 40.67402 4.593611 76.75443
## 615 45.67454 9.449012 81.90007
## 616 41.38838 5.306371 77.47039
## 617 42.34086 6.246778 78.43494
## 618 40.91214 4.831908 76.99237
## 619 45.43642 9.224863 81.64798
## 620 41.15026 5.069494 77.23103
## 621 39.48342 3.391479 75.57536
## 622 41.86462 5.777994 77.95125
## 623 39.95966 3.874461 76.04486
## 624 40.43590 4.354605 76.51720
## 625 42.34086 6.246778 78.43494
## 626 39.72154 3.633325 75.80976
## 627 38.05470 1.925516 74.18389
## 628 38.05470 1.925516 74.18389
## 629 40.91214 4.831908 76.99237
## 630 40.67402 4.593611 76.75443
## 631 41.15026 5.069494 77.23103
## 632 42.81710 6.712725 78.92148
## 633 38.53094 2.417004 74.64488
## 634 42.34086 6.246778 78.43494
## 635 38.76906 2.661686 74.87644
## 636 40.43590 4.354605 76.51720
## 637 42.34086 6.246778 78.43494
## 638 40.91214 4.831908 76.99237
## 639 40.67402 4.593611 76.75443
## 640 45.43642 9.224863 81.64798
## 641 41.15026 5.069494 77.23103
## 642 42.34086 6.246778 78.43494
## 643 38.53094 2.417004 74.64488
## 644 39.48342 3.391479 75.57536
## 645 41.38838 5.306371 77.47039
## 646 39.24530 3.148924 75.34168
## 647 43.05522 6.944635 79.16581
## 648 43.05522 6.944635 79.16581
## 649 40.67402 4.593611 76.75443
## 650 42.57898 6.480106 78.67786
## 651 42.34086 6.246778 78.43494
## 652 40.67402 4.593611 76.75443
## 653 41.86462 5.777994 77.95125
## 654 43.76958 7.636118 79.90304
## 655 38.76906 2.661686 74.87644
## 656 43.05522 6.944635 79.16581
## 657 39.00718 2.905659 75.10870
## 658 39.00718 2.905659 75.10870
## 659 45.43642 9.224863 81.64798
## 660 39.24530 3.148924 75.34168
## 661 40.91214 4.831908 76.99237
## 662 40.43590 4.354605 76.51720
## 663 40.67402 4.593611 76.75443
## 664 38.05470 1.925516 74.18389
## 665 42.57898 6.480106 78.67786
## 666 40.91214 4.831908 76.99237
## 667 40.91214 4.831908 76.99237
## 668 38.29282 2.171614 74.41403
## 669 40.43590 4.354605 76.51720
## 670 41.62650 5.542537 77.71047
## 671 43.53146 7.406331 79.65659
## 672 43.53146 7.406331 79.65659
## 673 43.05522 6.944635 79.16581
## 674 41.62650 5.542537 77.71047
## 675 42.57898 6.480106 78.67786
## 676 38.76906 2.661686 74.87644
## 677 45.43642 9.224863 81.64798
## 678 40.67402 4.593611 76.75443
## 679 41.86462 5.777994 77.95125
## 680 42.57898 6.480106 78.67786
## 681 40.67402 4.593611 76.75443
## 682 42.81710 6.712725 78.92148
## 683 41.86462 5.777994 77.95125
## 684 42.34086 6.246778 78.43494
## 685 42.81710 6.712725 78.92148
## 686 41.15026 5.069494 77.23103
## 687 39.48342 3.391479 75.57536
## 688 38.29282 2.171614 74.41403
## 689 39.72154 3.633325 75.80976
## 690 39.48342 3.391479 75.57536
## 691 41.38838 5.306371 77.47039
## 692 39.95966 3.874461 76.04486
## 693 39.48342 3.391479 75.57536
## 694 40.43590 4.354605 76.51720
## 695 43.53146 7.406331 79.65659
## 696 40.67402 4.593611 76.75443
## 697 40.67402 4.593611 76.75443
## 698 39.24530 3.148924 75.34168
## 699 40.43590 4.354605 76.51720
## 700 40.43590 4.354605 76.51720
## 701 38.29282 2.171614 74.41403
## 702 39.00718 2.905659 75.10870
## 703 40.67402 4.593611 76.75443
## 704 41.15026 5.069494 77.23103#Medidas dos erros
library(forecast)
accuracy(ajuste)## ME RMSE MAE MPE MAPE MASE
## Training set 2.369085e-16 18.33773 15.06841 -65.17636 88.7175 0.9913388