9. Explain why a data analyst may not use the clusters determined by the clustering method that gives the “best” solution for the given data set. :
10.Explain how the conditional probabilities from historical data are used to help make predictions about “new” data.
11.Explain the role of summations of conditional probabilities in predictions.
12.Explain how predictions are made from the use of conditional probabilities.
17.Explain why AND how you use Simple Exponential Smoothing
18.Explain why AND how you use Holts Trend Corrected Exponential Smoothing
19.Explain why AND how you check for Autocorrelation
20.Explain why AND how you use Multiplicative Holt-Winters Exponential Smoothing