Yesterday I reviewed an article which published a QSPR model which looked something like: \[y = 151 + 50p1 - 12p2 - 0.006p3\] with quite OK prediction results (R=0.9880). But I was not quite comfortable with the coefficient for the \(p3\) variable. The article did not calculate significances for the coefficients, so it was not obvious from the article wether is was useful to include them. I then looked at the range for p3, which was 110-150;