problem listed here: https://www.chegg.com/homework-help/questions-and-answers/consider-problem-predicting-person-college-degree-based-age-salary-table-graph-contain-tra-q10139441

how do you solve this: A multivariate decision tree is a generalization of univariate decision trees, where more than one attribute can be used in the decision rule for each split. That is, splits need not be orthogonal to a features axis. For the same data, learn a multivariate decision tree where each decision rule is a linear classier that makes decisions based on the sign of Xage + Xincome 1. Draw your tree, including the , and the information gain for each split. Justify your solution show the work that achieves the answer or explain your response.