Attribute Gender Grade: Tardies Absences Suspension Expulsion Arrest Student ID cluster 0 0.466 10.509 4.303 2.551 0.333 0.124 0.709 826.500 cluster_1 0.485 10.477 4.143 2.392 0.329 0.139 0.650 356 cluster 2 0.545 10.528 4.311 2.694 0.349 0.162 0.719 592 cluster 3. 0.443 10.582 3.954 2.443 0.338 0.198 0.797 119 8 Examining the centroids for Tardies, Absences, Suspension, Expulsion, and Arrest, how many total students are there in the two "middle-risk" clusters that would be classified as neither Low Risk nor Critical Risk? 0000 943 300. 181 481 9 Examining the centroids for Grade, which of the following would most accurately describe this attribute's value in your k-Means model? Grade level appears to be strongly correlated to the likelihood of being arrested. cluster_0 likely has a large number of students in the 11th and 12th grades. There is little indication that grade level relates in any meaningful way to student risk factors. Older students (in higher grade levels) tend to be late to class more often than younger students.
