17. The difference between the observed value of the dependent variable and the value predicted using the estimated regression equation is known as the residual 1. Which of the following is least related to data/information visualization? Graphic artwork (information graphics, scientific visualization, statistical graphics) 2.Which type of visualization tool can be very helpful when a data set contains location data? Geographic map(tree map, highlight table, bar chart) 3. Benefits of the latest visual analytics tools such as SAS visual analytics, include all of the following except: They explore massive amounts of data in hours, not days. 4.What is the management feature of a dashboard? operational data that identify what actions to take to resolve a problem 5.What is the fundamental challenge of dashboard design? ensuring that the required information is shown clearly on a single screen 6. Dashboards can be presented at all the following levels EXCEPT The visual cube level 7.Why is a performance management system superior to a performance measurement system? because measurement alone has little use without action 8.Why is the customer perspective important in the balanced scorecard methodology? because dissatisfied customers will eventually hurt the bottom line 9. All of the following statements about data mining are true EXCEPT the process aspect means that data mining should be a one-step process to results. 10.What is the main reason parallel processing is sometimes used for data mining? because of the massive data amounts and search efforts involved 11. The data mining algorithm type used for classification somewhat resembling the biological neural networks in the human brain is artificial neural networks. 12. Prediction problems where the variables have numeric values are most accurately defined as regressions. 13.What does the robustness of a data mining method refer to? its ability to overcome noisy data to make somewhat accurate predictions 14.What does the scalability of a data mining method refer to? its ability to construct a prediction model efficiently given a large amount of data 15. In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as association rule mining. 16. Which of the following is a data mining myth? Data mining requires a separate, dedicated database.
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