# Confidence rating for regression tasks

In classification tasks, we can interpret the output vector as how "confident" the model is that the input has a certain label. For example,

y = [0.01  0.20  0.99  0.10]


would mean the model is 99% certain the input has label with index 2 and 1% certain it has label with index 0.

My question is: Is there an equivalent for regression tasks?

If my output looks like

y = 0.33


is there a way to measure how "certain" the model is that the output really is 0.33?