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For statistical topics which involve the assumption of linearity, for example, linear regression or linear mixed models, or for the discussion of linear algebra as applied to statistics.

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Correcting log-transformation bias in a linear model

I am using a log-transformation for my response variable in order to get a linear relationship between it and the explanatory variable. … species d <- filter(d, Species_E == "Sugar Maple") # Choose one par(mfrow=c(4,2)) plot(d$Height, d$OM_total) # expontential relationship, multiplicative errors plot(d$Height, log(d$OM_total)) # closer to linear
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