# Interpreting the value of standard errors [duplicate]

After computing the standard error of regression, my answer is 3.55 what does the value mean

• It depends on which quantity you're calling "the standard error of regression". Oct 2, 2014 at 3:13
• @ Glen: here is how I defined the standard error of the model Se = √ Σ(Yi – Yhat)2 / n-2
– Anie
Oct 2, 2014 at 3:20

Assuming by standard error of regression you mean the residual standard deviation, $s$, where $s^2=\frac{\text{RSS}}{n-p}$ -- e.g. like this (edited regression output from R):
then that quantity, often called $s$, represents an estimate of the standard deviation of the error term in your regression model, a typical distance of points from the regression line.
• What I meant is that if your response is measured in hours or meters or units of IQ, then so is $s$. If you write a new question outlining what contradictions you see in the writeups (preferably with quotes), you might be able to get those particular issues clarified. Oct 2, 2014 at 4:26