Here are 3 questions about the LOESS smoothing fit.
# Loess model plot(Y ~ X) loess.model <- loess(Dataset$Y ~ Dataset$X) loess.model hat <- predict(loess.model) lines(Dataset$X[order(Dataset$X)], hat[order(Dataset$X)], col="red") Number of Observations: 52 Equivalent Number of Parameters: 4.62 Residual Standard Error: 0.9877
- Is it possible to get the R-square of the loess fit (red curve)? If yes, how can I get the R-square? Could you give me the R code?
- It is impossible to get the equation of the smoothing fit (red curve). Therefore we can not do any prediction with a smoothing fit LOESS? On the contrary we can easily do/make prediction with the linear line.
- What is the main purpose to use a smoothing fit instead of a linear line? Is the smoothing fit more accurate, although we can not do any prediction?