x = rnorm(30) n = length(x) y = -1 + 3*x+rnorm(n,0,1) par(mfrow=c(1,2)) qqnorm(x) plot(x,y) cor(x,y)
n=1000
x=rnorm(n,0,1)
y = {{m}}*x + rnorm(n,0,{{s}})
plot(x,y)
cor(x,y)
The linear correlation coefficient is .
cor(x,y)
set.seed(strftime(Sys.time(), format="%H%M%S") ) x = rnorm(5) sd(x)