1. y <- c(0, -0.104, 0.016, -0.085, -0.163, -0.020, -0.038, 0.008, -0.130, 0.064, -0.068, 0.000, 0.045,
-0.021, -0.012, 0.038, 0.091, -0.008, -0.008)
regxy <- lm(y ~ x)
summary(regxy)
plot(y ~ x)
abline(regxy)
plot(y ~ x, pch = 20, main = "Regressio lineal simple")
lines(regxy$fitted ~ x, lwd = 2)
for (i in 1:length(x)) {
segments(x[i], y[i], x[i], regxy$fitted[i])
}
abline(v = mean(x), lty = 3)
abline(h = mean(y), lty = 3)