Good question. The t-ratios tell you which attribute LEVELS are significant. If you want to know if an entire ATTRIBUTE is a significant predictor of choice or not I think the easiest way would be to run the model twice, once including the attribute and once excluding it. Then compare the log likelihood of the two models using the log likelihood test. This gives you a direct measure of the significance of the attribute as a whole.