How to accomplish replicated calculation and plot in subset dataset?

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I have a simulated data created like this:

average_vector = c(0,0,25)
sigma_matrix = matrix(c(4,1,0,1,8,0,0,0,9),nrow=3,ncol=3) 
set.seed(12345)
data0 = as.data.frame(mvrnorm(n =20000, mu = average_vector, Sigma=sigma_matrix))

Now, I want to randomly sample 50 students 1,000 times (1,000 sets of 50 people), I used this code:

datsub<-(replicate(1000, sample(1:nrow(data0),50)))

After that step, I encountered a issue: I want to ask if I want to run a regression model with the 50 selected people (1,000 times), and record/store the point estimates of “hard” from model 4, where is given like this: model4 = lm(formula = final ~ hard + smartness + age, data = data0), and plot the variation around the line of 0.5 (true value), is there any way I can achieve that? Thanks a lot!



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