We simulate an example to demonstrate the strength of the LTS procedure in isolating outliers. Suppose your student number contains the numbers XXXXXXX, in order that you generate data that is unique to your student number, include the student number in the starting seed for random number generation as shown below. After setting the initial seed, generate pairs of observations (magi-J = 1,2, . . .,100) of which 75% are scattered around the line 3; = 2x + 1 and 25% are clustered around (5,5). set.seedCround(log(3376311))) x75