Part 2 16.2.2 Recognize data mining approaches and identify terms and variable types involved in data mining Use the following information for questions through : Scanner data gathered from various supermarket chains were merged with data from the travel industry ( e airlines , hotels , etc ) into one data warehouse Below is a list of a few variables for which data were collected . On the line to the right , indicate whether the variable is transactional ( T ) or demographic ( D ) 1. Amount spent on organic food products 2. Number of international flights taken annually 3. Age 4 of eco - friendly products purchased Occupation Identify models and algorithms used to build predictive models Use the following information for problems 6 through 8 . Suppose data mining is employed on supermarket chains and travel industry data warehouse in order to answer the following questions . On the line to the right , indicate whether these involve a classification ( C ) or regression ( R ) problem 6. Whether or not a customer is interested in eco - friendly travel products ? How much a customer spends annually on travel related products ? 8 How much customer spends annually on international specially food items ? 16.34 Identily the 9. Suppose the goal of data mining using this data warehouse was to predict whether customer's expenditures on international specialty food items would increase decrease or stay the same in the next year What technique might be most appropriate for achieving this the , 10. Explain how data mining differs from statistical inference