Linear Modeling procedure in SPSS include tables where the coefficients and standard errors for the predictors are often 0.000 and -0.000 (for the former). My questions are:

1) How can I increase the number of decimal places shown?

2) If those coefficients are so small, how are the variables kept in the corrected model and are still important? What's the explanation for how measures of such small importance are

influential enough to stay in the model anyway?