Some students were surveyed to evaluate the eect of price on the purchase of a pizza from a local store. They were asked to suppose they wanted a large two-topping pizza delivered to their residence. Then they were asked to select from either the local store or from another store of their choice. The price at the local store was randomly selected from $8.99, $10.99, $12.49, $12.99, $13.49, $14.99, or $15.99. The dependent variable is whether or not a student will purchase from the local store. Data from a random sample of 220 students were used as the training sample to develop a classication tree model. What conclusions can you reach? 0 Click the icon to view the classication tree model. Based on the rst split, what conclusions can be drawn about when a student is more likely to purchase from the local store? Select the correct choice below and ll in any answer boxes within your choice. 0 A. When the student was female 0 B. When the student was male O c- When the price was greater than or equal to $ O 9- When the price was less than $ Based on the second split, what conclusions can be drawn about when a student is more likely to purchase from the local store? Select the correct choice below and ll in any answer boxes within your choice. 0 A. When the student was male O B- When the price was greater than or equal to $ O C. When the student was female O 9- When the price was less than 3 X Classification tree model RSquare 0.048 N 220 Number of Splits 2 All Rows Count G 2 Log Worth 220 205.582387 1.086467 Level Rate Prob Count Yes 0.1773 0.1773 39 No 0.8227 0.8227 181 Price > $13.49 Price