exemplo da aula

Agora vou definir as variáveis

x<-c(2,3,4,1,2)
y<-c(10,12,15,9,8)
x
## [1] 2 3 4 1 2
y
## [1] 10 12 15  9  8

Agora vou mostrar o diagrama de dispersão

plot(x,y)
r1<-lm(y~x)
summary(r1)
## 
## Call:
## lm(formula = y ~ x)
## 
## Residuals:
##        1        2        3        4        5 
##  0.07692 -0.11538  0.69231  1.26923 -1.92308 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)  
## (Intercept)   5.5385     1.5911   3.481   0.0400 *
## x             2.1923     0.6102   3.593   0.0369 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.391 on 3 degrees of freedom
## Multiple R-squared:  0.8114, Adjusted R-squared:  0.7486 
## F-statistic: 12.91 on 1 and 3 DF,  p-value: 0.03694
abline(r1)

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