Final answer:
Trees for continuous outcomes are called classification trees, and trees for binary outcomes are called regression trees.
Step-by-step explanation:
The statement that is TRUE is option 4: Trees for continuous outcomes are called classification trees, and trees for binary outcomes are called regression trees.
A classification tree is used when the outcome variable is categorical, while a regression tree is used when the outcome variable is continuous. The 'method=anova' and 'method=class' options mentioned in options 1 and 2 are not correct.
Analysis of Variance (ANOVA) is a statistical method used to test whether the means of three or more populations are equal. It is often used in one-way ANOVA tests to compare means across several groups.