Dear all,
I am doing log-transformed bootstrap regression using:
x=c(0.038,0.054,1.030,1.250,10.240,52.000,228.100,240.000,758.000,1502.600,0.140,9.170,280.000,1.000,0.150,0.388,20)
y=c(3961.5,25987.5,526557,321094.5,6433332,23592715.5,40500000,
228853521.1,320980392,429000000,58435.5,13525240.5,621195600,1020000,30567.0,296100.0,4800000)
xy = data.frame(x=x,y=y)
reg.ln = function(storage, indices){
storage = storage[indices,]
res.lm = lm(log(y)~log(x), data=storage)
coefficients(res.lm)
}
xy.boot = boot(xy, reg.ln, 2000)
Why does the Intercept given by xy.boot$t0 differs from
mean(co.boot$t[,1])?
How are the t0 values calculated?
Any help is appreciated!
Thanks
Thomas
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