A linear regression on dependent and predictor variable was run on simulated data after log transformation.
x <- rnorm(423, mean = 55, sd = 12) y <- rnorm(423, mean = 1.44, sd = 0.3) dat <- as.data.frame(cbind(x,y)) mod <- lm (log(y)~log (x), data = dat) summary(mod)
Is the x intercept in this summary log 0.186 or 0.186? The slope estimate I think is 0.0424. Can this model written as follows::
ln (y) = ln 0.186 + 0.0424 * log (x)