Test Durbin Watson(error independence)

#1
Hello, I am solving an example of Design of experiments of a variable (DCA).
It turns out that, on having applied logarithmic transformations, durbin watson throws a similar value, being the different graph

Code:
library(lmtest)

tb = data.frame("treat" = factor(x = c(rep(1:5, c(4,4,4,4,4)), labels = c("M1","M2","M3","M4","M5")),
                            "value" = c(110,157,194,178,1,2,4,18,880,1256,5276,4355,495,7040,5307,10050,7,5,29,2))
fit = aov(formula = value ~ treat, data=tb)

# durbin test
dwtest(fit)
plot(fit$residuals)

# -----------------------------
# transformation -- log

tb$value = log(tb$value)



# durbin test
dwtest(fit)
plot(fit$residuals)
if you observe, the graphics are different
 

hlsmith

Less is more. Stay pure. Stay poor.
#3
The implicit question was, why is your face so messed up Dason, why dont you fix it or something!

Or maybe something about why they are different. Which i would say is that you are proposing a different structural relationship between the variables (additive vs multiplicative?).
 
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