Step 1) Scale the data and set the random seed to 42 IMPORTANT: In order to get results for the K-means cluster analysis that align with the correct answers in the assignment quiz, you MUST set the seed value to 42 using the set.seed () function that was discussed in the module videos. If you do not do this, you will not be able to reproduce the answers that correspond with the assignment quiz. Step 2) Create a function to calculate the total within-cluster sum of squared deviations using 10 random starts (nstart=10).