Indicate, by using the dropdown lists, whether each analysis question requires Supervised or Unsupervised analysis:

Your marketing team has finished collecting data about your customers, trying to determine what specifications they are interested in for the next iteration of your product. The marketing team wants to break the data into $3$ groups of customers in order to understand the future directions of your product. This is an example of

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The price that customers are willing to pay for your products is directly related to several economic factors, such as the Consumer Price Index, the unemployment rate, and interest rates. Trying to predict the price you can set for your products is an example of

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Several of your products are being returned due to product malfunctions. You want to run an analysis to see what common factors are for those malfunctions. The goal is to come up with a model that can be used to classify a specific product as being more likely to be returned based on things such as the manufacturer$/$supplier of the input components, the local assembler, and the time of day of the assembly. This would be an example of

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Your boss wants to know where the centers of innovation are in your company. He$/$she wants you to profile employees looking at their output over the last $2$ years and the impact of their ideas on the company's bottom line. The next step is to identify whether an employee has been "stagnant" $($not very much innovation$),$ "average" $($moderate innovation, but meets expectations$),$ or "star innovator" $($employees whose ideas have helped move the company forward financially$).$ This analysis is an example of

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