# zero estimate for value and std. error for mixed models in R

I ran an linear mixed effects model in r. The summary statistics for my fixed effects has estimates of zero but gives me a t-value and p-value (see variable Buffer_400 in image below).

How do I interpret this output? My understanding is t-value = Value / Std. Error. If I am correct, how can I get a t-value =-2.297 when the std. error is zero? Is it because the standard errors are less than 0.0000000? Thank you.

• Note that, unless the inputs are standardized, regression coefficients are expressed as the change in Y for a unit change in X. Given that, you are correct in noting that the coefficient and standard error for Buffer_400 are smaller than the smallest magnitude possible in the printed output. – Mike Hunter May 18 '16 at 23:02