C. 2. Identify whether the means for the ingredients are High (much higher than the mean for that variable), Medium (around the mean for that variable), and Low (below the mean for that variable) in the Table below. (8 points) Mean(Calories) Mean(Sodium) Mean(Alcohol) Mean(Price) Interpret clusters based on the mean values (High, Medium, Low) for the variables listed above: (2 points) Cluster 1: Cluster 2: Cluster 3: Cluster 4: Save script to data Table as Q1 (1 point) Run K-means Cluster Analysis with all four continuous variables in Y column and enter clusters ranging from 2 to 4 in the KMeans Dialog Box for number of clusters and click on Go (Analysilelustering/ K-mean Cluster). Save the script to the data table as Q2. (19 points) a. Enter the value of Cluster Cubic Criterion (CCC) for the three clusters below: (3 points) fllll