Which of the following is TRUE based on the output from the two methods of clustering analysis above? Check all that apply. The inclusion of the categorical variable in Hierarchical Clustering makes a difference in this case. Both methods agree on the membership of all 50 rows of data except one. Both methods show that one cluster has the highest average value for all numeric fields. We can place an individual in one of the two clusters based on his/her income, house value, birth place, and level of education. We can predict an individual's income using his/her education level. The cluster composition from both methods are identical. A negative CCC means the clusters are not well separated