If we build an extremely large regression tree using our entire dataset, why are its predictions unlikely to be very accurate? Group of answer choices It is likely that the first split at the top of the tree is based on the wrong independent variable The tree is likely to be overfit to the data The tree will have to split based on the same independent variable multiple times Trees built using lots of data tend to have less predictive value