You run an apparel retail store and apply K-means clustering to segment customers. Each customer is described by two variables: monthly purchase frequency and average order value (in dollars). The scatterplot below shows the resulting customer segments.

If your new product is priced at $150 (well above the average order value of $88), which customer cluster will you target at? 

Based on the first table, How many principal component explain over 10% of variance?

You rightly urge caution, and note that reverse causality may be driving the result. In one or two short sentences, explain with an example how (B) might be causing (A).  Note: answers should not be longer than 3 sentences.

How will you properly describe the correlation between (A) and (B)

What is the optimal number of cluster based on this elbow curve? 

Standard deviation can be negative.

Order from smallest to largest in a right skewed distribtuion. 

Given that the Mean = 80 and the Standard Deviation = 6, find the value that is two standard deviations below the mean.

As the wavelength of light decreases, its frequency: