How to generate random Y at specific X from a linear model in R? -


say have linear model f1 fit x , y data points:

f1 <- lm(y ~ x,data=d) 

how can generate new y values @ new x values (that different old x values within range of old x values) using f1 fit in r?

you can use predict this:

x <- runif(20, 0, 100) y <- 5*x + rnorm(20, 0, 10) df <- data.frame(x, y) df plot(df)  mod <- lm(y ~ x, data = df)  x_new <- 1:100 pred <- predict(mod, newdata=data.frame(x = x_new)) plot(df) points(x_new, pred) 

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